{ "cells": [ { "cell_type": "markdown", "id": "c1738f4c-7a1a-4dd8-ad9f-43de6dfd6f42", "metadata": {}, "source": [ "# Alignment and RNA velocity analysis of single-cell RNA-seq data.\n", "\n", "The kallisto, bustools and kb-python programs are free, open-source software tools for performing this analysis that together can produce gene expression quantification from raw sequencing reads. In this tutorial, we will perform pre-processing and RNA velocity analysis of human week 10 fetal forebrain dataset ([SRR6470906](https://www.ncbi.nlm.nih.gov/sra/?term=SRR6470906)) from [La Manno et al., 2018](https://www.nature.com/articles/s41586-018-0414-6) using the kallisto | bustools workflow.\n", "\n", "We made an improvement in integrating the kallisto, bustools and kb-python program in OmicVerse:\n", "\n", "* **More user-friendly function implementation**: we automated their encapsulation into the ```omicverse.alignment``` class.\n", "\n", "If you found this tutorial helpful, please cite kb-python and OmicVerse:\n", "\n", "* Sullivan, D.K., Min, K.H.(., Hjörleifsson, K.E. et al. kallisto, bustools and kb-python for quantifying bulk, single-cell and single-nucleus RNA-seq. Nature Protocol (2025).\n", "https://doi.org/10.1038/s41596-024-01057-0\n", "\n", "* Melsted, P., Booeshaghi, A.S., Liu, L. et al. Modular, efficient and constant-memory single-cell RNA-seq preprocessing. Nature Biotechnology (2021). https://doi.org/10.1038/s41587-021-00870-2" ] }, { "cell_type": "code", "execution_count": 12, "id": "b5552986-e6f4-4eee-8d10-676819af25bf", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "🔬 Starting plot initialization...\n", "Using already downloaded Arial font from: /tmp/omicverse_arial.ttf\n", "Registered as: Arial\n", "🧬 Detecting GPU devices…\n", "✅ NVIDIA CUDA GPUs detected: 8\n", " • [CUDA 0] NVIDIA GeForce RTX 4090 D\n", " Memory: 23.6 GB | Compute: 8.9\n", " • [CUDA 1] NVIDIA GeForce RTX 4090 D\n", " Memory: 23.6 GB | Compute: 8.9\n", " • [CUDA 2] NVIDIA GeForce RTX 4090 D\n", " Memory: 23.6 GB | Compute: 8.9\n", " • [CUDA 3] NVIDIA GeForce RTX 4090 D\n", " Memory: 23.6 GB | Compute: 8.9\n", " • [CUDA 4] NVIDIA GeForce RTX 4090 D\n", " Memory: 23.6 GB | Compute: 8.9\n", " • [CUDA 5] NVIDIA GeForce RTX 4090 D\n", " Memory: 23.6 GB | Compute: 8.9\n", " • [CUDA 6] NVIDIA GeForce RTX 4090 D\n", " Memory: 23.6 GB | Compute: 8.9\n", " • [CUDA 7] NVIDIA GeForce RTX 4090 D\n", " Memory: 23.6 GB | Compute: 8.9\n", "✅ plot_set complete.\n", "\n" ] } ], "source": [ "import omicverse as ov\n", "import scanpy as sc\n", "import pandas as pd\n", "import numpy as np\n", "ov.plot_set(font_path='Arial')" ] }, { "cell_type": "markdown", "id": "9dc9449b-a0db-4112-beb0-3360efb1a5b8", "metadata": {}, "source": [ "## Download human reference files and build the index\n", "We build a human cDNA and intron index from the human genome and annotations provided by Ensembl." ] }, { "cell_type": "code", "execution_count": 13, "id": "23b0df50-c2d3-4bf5-b455-1f2e99c60e50", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--2025-10-24 06:42:54-- ftp://ftp.ensembl.org/pub/release-108/fasta/homo_sapiens/dna/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz\n", " => ‘velocity/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz.1’\n", "Resolving ftp.ensembl.org (ftp.ensembl.org)... ^C\n", "--2025-10-24 06:42:57-- ftp://ftp.ensembl.org/pub/release-108/gtf/homo_sapiens/Homo_sapiens.GRCh38.108.gtf.gz\n", " => ‘velocity/Homo_sapiens.GRCh38.108.gtf.gz.1’\n", "Resolving ftp.ensembl.org (ftp.ensembl.org)... 193.62.193.169\n", "Connecting to ftp.ensembl.org (ftp.ensembl.org)|193.62.193.169|:21... connected.\n", "Logging in as anonymous ... Logged in!\n", "==> SYST ... done. ==> PWD ... done.\n", "==> TYPE I ... done. ==> CWD (1) /pub/release-108/gtf/homo_sapiens ... done.\n", "==> SIZE Homo_sapiens.GRCh38.108.gtf.gz ... 54107597\n", "==> PASV ... done. ==> RETR Homo_sapiens.GRCh38.108.gtf.gz ... ^C\n", "CPU times: user 2.13 s, sys: 404 ms, total: 2.54 s\n", "Wall time: 5.89 s\n" ] } ], "source": [ "%%time\n", "!wget -P velocity ftp://ftp.ensembl.org/pub/release-108/fasta/homo_sapiens/dna/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz\n", "!wget -P velocity ftp://ftp.ensembl.org/pub/release-108/gtf/homo_sapiens/Homo_sapiens.GRCh38.108.gtf.gz" ] }, { "cell_type": "markdown", "id": "a4a55a1d-af87-4eff-b661-33c78b8045d0", "metadata": {}, "source": [ "Here we build a human RNA velocity index, and you can see this [notebook](https://www.kallistobus.tools/tutorials/kb_velocity_index/python/kb_velocity_index/) for more details about how to RNA velocity indices. " ] }, { "cell_type": "code", "execution_count": 3, "id": "2aae1c91-98f5-4709-9b09-a7419df7929e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[95m🚀 Starting ref workflow: lamanno\u001b[0m\n", "\u001b[94m Using temporary directory: tmp-kb-06ff3e80a53545f3920a4681bc45da78\u001b[0m\n", "\u001b[96m>> /opt/miniforge/envs/omicverse_working/bin/kb ref --workflow lamanno --tmp tmp-kb-06ff3e80a53545f3920a4681bc45da78 -i velocity/index.idx -g velocity/t2g.txt -t 8 --d-list-overhang 1 -f1 velocity/cdna.fa -f2 velocity/intron.fa -c1 velocity/cdna_t2c.txt -c2 velocity/intron_t2c.txt velocity/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz velocity/Homo_sapiens.GRCh38.108.gtf.gz\u001b[0m\n", "[2025-10-29 07:41:52,381] INFO [ref_lamanno] Preparing velocity/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz, velocity/Homo_sapiens.GRCh38.108.gtf.gz\n", "[2025-10-29 07:42:56,969] INFO [ref_lamanno] Splitting genome velocity/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz into cDNA at /data/hulei/Projects/Omicverse_2/omicverse_update/tmp-kb-06ff3e80a53545f3920a4681bc45da78/tmpd6_5n02u\n", "[2025-10-29 07:44:26,416] INFO [ref_lamanno] Creating cDNA transcripts-to-capture at /data/hulei/Projects/Omicverse_2/omicverse_update/tmp-kb-06ff3e80a53545f3920a4681bc45da78/tmp4uoqoscv\n", "[2025-10-29 07:44:30,592] INFO [ref_lamanno] Splitting genome into introns at /data/hulei/Projects/Omicverse_2/omicverse_update/tmp-kb-06ff3e80a53545f3920a4681bc45da78/tmpuqw6zk3j\n", "[2025-10-29 07:53:31,728] INFO [ref_lamanno] Creating intron transcripts-to-capture at /data/hulei/Projects/Omicverse_2/omicverse_update/tmp-kb-06ff3e80a53545f3920a4681bc45da78/tmppqqiuleo\n", "[2025-10-29 07:55:05,492] INFO [ref_lamanno] Concatenating 1 cDNA FASTAs to velocity/cdna.fa\n", "[2025-10-29 07:55:09,790] INFO [ref_lamanno] Concatenating 1 cDNA transcripts-to-captures to velocity/cdna_t2c.txt\n", "[2025-10-29 07:55:09,870] INFO [ref_lamanno] Concatenating 1 intron FASTAs to velocity/intron.fa\n", "[2025-10-29 07:56:41,579] INFO [ref_lamanno] Concatenating 1 intron transcripts-to-captures to velocity/intron_t2c.txt\n", "[2025-10-29 07:56:42,243] INFO [ref_lamanno] Concatenating cDNA and intron FASTAs to /data/hulei/Projects/Omicverse_2/omicverse_update/tmp-kb-06ff3e80a53545f3920a4681bc45da78/tmp11ndpu2o\n", "[2025-10-29 07:59:43,573] INFO [ref_lamanno] Creating transcript-to-gene mapping at velocity/t2g.txt\n", "[2025-10-29 08:01:22,179] INFO [ref_lamanno] Indexing /data/hulei/Projects/Omicverse_2/omicverse_update/tmp-kb-06ff3e80a53545f3920a4681bc45da78/tmp11ndpu2o to velocity/index.idx\n", "\u001b[92m✓ ref workflow completed!\u001b[0m\n", "dict_keys(['workflow', 'technology', 'parameters', 'index_path', 't2g_path', 'cdna_path'])\n" ] } ], "source": [ "result=ov.alignment.single.ref(\n", " fasta_paths='velocity/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz', #input\n", " gtf_paths='velocity/Homo_sapiens.GRCh38.108.gtf.gz', #input\n", " index_path='velocity/index.idx', #output\n", " t2g_path='velocity/t2g.txt', #output\n", " cdna_path='velocity/cdna.fa', #output\n", " f2='velocity/intron.fa', #output\n", " c1='velocity/cdna_t2c.txt', #output\n", " c2='velocity/intron_t2c.txt', #output\n", " workflow='lamanno',\n", " threads=8\n", ")\n", "print(result.keys())" ] }, { "cell_type": "markdown", "id": "cfda533a-6220-46d5-bb2d-cbb630e10944", "metadata": {}, "source": [ "## Generate RNA velocity count matrices\n", "\n", "The following command will generate an RNA count matrix of cells (rows) by genes (columns) in H5AD format, which is a binary format used to store Anndata objects. Notice we are providing the index and transcript-to-gene mapping we downloaded in the previous step to the ```-i``` and ```-g``` arguments respectively, as well as the transcripts-to-capture lists to the ```-c1``` and ```-c2``` arguments. Also, these reads were generated with the 10x Genomics Chromium Single Cell v2 Chemistry, hence the ```-x 10xv2``` argument. " ] }, { "cell_type": "code", "execution_count": null, "id": "d1b165f5-2845-45a1-8a9a-8fd9af0a943e", "metadata": {}, "outputs": [], "source": [ "!wget -P velocity https://caltech.box.com/shared/static/nvzqphhklk1yx938l6omursw7sr68y43.gz -O SRR6470906_S1_L001_R1_001.fastq.gz\n", "!wget -P velocity https://caltech.box.com/shared/static/63fh2xa5t82x7s74rqa0e2u2ur59y5ox.gz -O SRR6470906_S1_L001_R2_001.fastq.gz\n", "!wget -P velocity https://caltech.box.com/shared/static/zqi3durukillaw1pbns1kd1lowyfg5qk.gz -O SRR6470906_S1_L002_R1_001.fastq.gz\n", "!wget -P velocity https://caltech.box.com/shared/static/i56qojfz41ns1kw9z86sla0vawsch96t.gz -O SRR6470906_S1_L002_R2_001.fastq.gz" ] }, { "cell_type": "code", "execution_count": 13, "id": "8aafee7b-59c2-43a2-8d6a-75cbb1c8edab", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[95m🚀 Starting count workflow: lamanno\u001b[0m\n", "\u001b[96m Technology: 10xv2\u001b[0m\n", "\u001b[96m Output directory: velocity/SRR6470906\u001b[0m\n", "\u001b[94m Using temporary directory: tmp-kb-8f35dcc278fb4900b238db3d4c120f14\u001b[0m\n", "\u001b[96m>> /opt/miniforge/envs/omicverse_working/bin/kb count --workflow lamanno --tmp tmp-kb-8f35dcc278fb4900b238db3d4c120f14 -i velocity/index.idx -g velocity/t2g.txt -x 10xv2 -o velocity/SRR6470906 -c1 velocity/cdna_t2c.txt -c2 velocity/intron_t2c.txt -t 8 -m 2G --filter bustools --h5ad -c1 velocity/cdna_t2c.txt -c2 velocity/intron_t2c.txt velocity/SRR6470906_S1_L001_R1_001.fastq.gz velocity/SRR6470906_S1_L001_R2_001.fastq.gz velocity/SRR6470906_S1_L002_R1_001.fastq.gz velocity/SRR6470906_S1_L002_R2_001.fastq.gz\u001b[0m\n", "[2025-10-29 10:56:35,097] INFO [count_lamanno] Skipping kallisto bus because output files already exist. Use the --overwrite flag to overwrite.\n", "[2025-10-29 10:56:35,097] INFO [count_lamanno] Sorting BUS file velocity/SRR6470906/output.bus to tmp-kb-8f35dcc278fb4900b238db3d4c120f14/output.s.bus\n", "[2025-10-29 10:57:49,007] INFO [count_lamanno] On-list not provided\n", "[2025-10-29 10:57:49,007] INFO [count_lamanno] Copying pre-packaged 10XV2 on-list to velocity/SRR6470906\n", "[2025-10-29 10:57:49,188] INFO [count_lamanno] Inspecting BUS file tmp-kb-8f35dcc278fb4900b238db3d4c120f14/output.s.bus\n", "[2025-10-29 10:57:53,696] INFO [count_lamanno] Correcting BUS records in tmp-kb-8f35dcc278fb4900b238db3d4c120f14/output.s.bus to tmp-kb-8f35dcc278fb4900b238db3d4c120f14/output.s.c.bus with on-list velocity/SRR6470906/10x_version2_whitelist.txt\n", "[2025-10-29 10:58:24,943] INFO [count_lamanno] Sorting BUS file tmp-kb-8f35dcc278fb4900b238db3d4c120f14/output.s.c.bus to velocity/SRR6470906/output.unfiltered.bus\n", "[2025-10-29 10:59:30,140] INFO [count_lamanno] Capturing records from BUS file velocity/SRR6470906/output.unfiltered.bus to tmp-kb-8f35dcc278fb4900b238db3d4c120f14/spliced.bus with capture list velocity/intron_t2c.txt\n", "[2025-10-29 11:00:02,890] INFO [count_lamanno] Sorting BUS file tmp-kb-8f35dcc278fb4900b238db3d4c120f14/spliced.bus to velocity/SRR6470906/spliced.unfiltered.bus\n", "[2025-10-29 11:00:23,621] INFO [count_lamanno] Inspecting BUS file velocity/SRR6470906/spliced.unfiltered.bus\n", "[2025-10-29 11:00:26,426] INFO [count_lamanno] Generating count matrix velocity/SRR6470906/counts_unfiltered/spliced from BUS file velocity/SRR6470906/spliced.unfiltered.bus\n", "[2025-10-29 11:00:58,495] INFO [count_lamanno] Capturing records from BUS file velocity/SRR6470906/output.unfiltered.bus to tmp-kb-8f35dcc278fb4900b238db3d4c120f14/unspliced.bus with capture list velocity/cdna_t2c.txt\n", "[2025-10-29 11:01:13,821] INFO [count_lamanno] Sorting BUS file tmp-kb-8f35dcc278fb4900b238db3d4c120f14/unspliced.bus to velocity/SRR6470906/unspliced.unfiltered.bus\n", "[2025-10-29 11:01:20,232] INFO [count_lamanno] Inspecting BUS file velocity/SRR6470906/unspliced.unfiltered.bus\n", "[2025-10-29 11:01:22,136] INFO [count_lamanno] Generating count matrix velocity/SRR6470906/counts_unfiltered/unspliced from BUS file velocity/SRR6470906/unspliced.unfiltered.bus\n", "[2025-10-29 11:01:41,457] INFO [count_lamanno] Reading matrix velocity/SRR6470906/counts_unfiltered/spliced.mtx\n", "[2025-10-29 11:01:54,826] INFO [count_lamanno] Reading matrix velocity/SRR6470906/counts_unfiltered/unspliced.mtx\n", "[2025-10-29 11:02:01,769] INFO [count_lamanno] Combining matrices\n", "[2025-10-29 11:02:02,357] INFO [count_lamanno] Writing matrices to h5ad velocity/SRR6470906/counts_unfiltered/adata.h5ad\n", "[2025-10-29 11:02:07,062] INFO [count_lamanno] Filtering with bustools\n", "[2025-10-29 11:02:07,062] INFO [count_lamanno] Generating on-list velocity/SRR6470906/filter_barcodes.txt from BUS file velocity/SRR6470906/output.unfiltered.bus\n", "[2025-10-29 11:02:08,466] INFO [count_lamanno] Correcting BUS records in velocity/SRR6470906/output.unfiltered.bus to tmp-kb-8f35dcc278fb4900b238db3d4c120f14/output.unfiltered.c.bus with on-list velocity/SRR6470906/filter_barcodes.txt\n", "[2025-10-29 11:02:34,507] INFO [count_lamanno] Sorting BUS file tmp-kb-8f35dcc278fb4900b238db3d4c120f14/output.unfiltered.c.bus to velocity/SRR6470906/output.filtered.bus\n", "[2025-10-29 11:02:59,446] INFO [count_lamanno] Capturing records from BUS file velocity/SRR6470906/output.filtered.bus to tmp-kb-8f35dcc278fb4900b238db3d4c120f14/spliced.bus with capture list velocity/intron_t2c.txt\n", "[2025-10-29 11:03:28,192] INFO [count_lamanno] Sorting BUS file tmp-kb-8f35dcc278fb4900b238db3d4c120f14/spliced.bus to velocity/SRR6470906/spliced.filtered.bus\n", "[2025-10-29 11:03:44,918] INFO [count_lamanno] Generating count matrix velocity/SRR6470906/counts_filtered/spliced from BUS file velocity/SRR6470906/spliced.filtered.bus\n", "[2025-10-29 11:04:08,504] INFO [count_lamanno] Capturing records from BUS file velocity/SRR6470906/output.filtered.bus to tmp-kb-8f35dcc278fb4900b238db3d4c120f14/unspliced.bus with capture list velocity/cdna_t2c.txt\n", "[2025-10-29 11:04:20,926] INFO [count_lamanno] Sorting BUS file tmp-kb-8f35dcc278fb4900b238db3d4c120f14/unspliced.bus to velocity/SRR6470906/unspliced.filtered.bus\n", "[2025-10-29 11:04:27,037] INFO [count_lamanno] Generating count matrix velocity/SRR6470906/counts_filtered/unspliced from BUS file velocity/SRR6470906/unspliced.filtered.bus\n", "[2025-10-29 11:04:46,158] INFO [count_lamanno] Reading matrix velocity/SRR6470906/counts_filtered/spliced.mtx\n", "[2025-10-29 11:04:54,852] INFO [count_lamanno] Reading matrix velocity/SRR6470906/counts_filtered/unspliced.mtx\n", "[2025-10-29 11:05:00,831] INFO [count_lamanno] Combining matrices\n", "[2025-10-29 11:05:01,166] INFO [count_lamanno] Writing matrices to h5ad velocity/SRR6470906/counts_filtered/adata.h5ad\n", "\u001b[92m✓ count workflow completed!\u001b[0m\n", "dict_keys(['workflow', 'technology', 'output_path', 'parameters'])\n" ] } ], "source": [ "result=ov.alignment.single.count(\n", " fastq_paths=['velocity/SRR6470906_S1_L001_R1_001.fastq.gz', #input\n", " 'velocity/SRR6470906_S1_L001_R2_001.fastq.gz', #input\n", " 'velocity/SRR6470906_S1_L002_R1_001.fastq.gz', #input\n", " 'velocity/SRR6470906_S1_L002_R2_001.fastq.gz'],#input\n", " output_path='velocity/SRR6470906', #input\n", " index_path='velocity/index.idx', #input\n", " t2g_path='velocity/t2g.txt', #input\n", " c1='velocity/cdna_t2c.txt', #input\n", " c2='velocity/intron_t2c.txt', #input\n", " technology='10xv2',\n", " workflow='lamanno', \n", " h5ad=True, \n", " filter_barcodes=True, # \n", ")\n", "print(result.keys())" ] }, { "cell_type": "markdown", "id": "7c6d714f-d697-4a4a-90ce-dfe1f98a1187", "metadata": {}, "source": [ "## Analysis\n", "\n", "In this part of the tutorial, we will load the RNA count matrix generated by kb count into Python and analyse them using the omicverse pipeline.\n", "\n", "You can find detailed information about these codes in this [website](https://omicverse.readthedocs.io/en/latest/Tutorials-velo/t_velo/).\n" ] }, { "cell_type": "code", "execution_count": 17, "id": "fbe9fbec-280e-44ab-b20a-bece5578e429", "metadata": {}, "outputs": [], "source": [ "adata = sc.read_h5ad(\"velocity/SRR6470906/counts_filtered/adata.h5ad\")\n", "adata.layers['spliced'] = adata.layers['mature']\n", "adata.layers['unspliced'] = adata.layers['nascent']" ] }, { "cell_type": "code", "execution_count": 18, "id": "1b80235c-559f-4e95-b40f-d88c9c9a5ec9", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[93mIn Velo module, you should keep all genes' expression not normalized.\u001b[0m\n", "Filtered out 53587 genes that are detected 20 counts (shared).\n", "|-----> Running monocle preprocessing pipeline...\n", "|-----> convert ensemble name to official gene name\n", "|-----? Your adata object uses non-official gene names as gene index. \n", "Dynamo is converting those names to official gene names.\n", "|-----> Storing myGene name info into local cache db: mygene_cache.sqlite.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Input sequence provided is already in string format. No operation performed\n", "Input sequence provided is already in string format. No operation performed\n", "2 input query terms found dup hits:\t[('ENSG00000227110', 2), ('ENSG00000243620', 2)]\n", "8 input query terms found no hit:\t['ENSG00000259407', 'ENSG00000259972', 'ENSG00000261386', 'ENSG00000291120', 'ENSG00000233937', 'ENS\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "|-----> Subsetting adata object and removing Nan columns from adata when converting gene names.\n", "|-----------> filtered out 1151 outlier cells\n", "|-----------> filtered out 1502 outlier genes\n", "|-----> PCA dimension reduction\n", "|-----> X_pca to obsm in AnnData Object.\n", "|-----> computing cell phase...\n", "|-----> [Cell Phase Estimation] completed [65.5472s]\n", "|-----> [Cell Cycle Scores Estimation] completed [0.3818s]\n", "|-----> [Preprocessor-monocle] completed [13.5334s]\n", "🖥️ Using Scanpy CPU to calculate neighbors...\n", "\n", "\u001b[95m\u001b[1m🔍 K-Nearest Neighbors Graph Construction:\u001b[0m\n", " \u001b[96mMode: \u001b[1mcpu\u001b[0m\n", " \u001b[96mNeighbors: \u001b[1m30\u001b[0m\n", " \u001b[96mMethod: \u001b[1mumap\u001b[0m\n", " \u001b[96mMetric: \u001b[1meuclidean\u001b[0m\n", " \u001b[96mRepresentation: \u001b[1mX_pca\u001b[0m\n", " \u001b[96mPCs used: \u001b[1m30\u001b[0m\n", "computing neighbors\n", " \u001b[92m🔍 Computing neighbor distances...\u001b[0m\n", " \u001b[92m🔍 Computing connectivity matrix...\u001b[0m\n", " \u001b[96m💡 Using UMAP-style connectivity\u001b[0m\n", " \u001b[92m✓ Graph is fully connected\u001b[0m\n", "\n", "\u001b[92m✅ KNN Graph Construction Completed Successfully!\u001b[0m\n", " \u001b[92m✓ Processed: \u001b[1m4,331\u001b[0m\u001b[92m cells with \u001b[1m30\u001b[0m\u001b[92m neighbors each\u001b[0m\n", " \u001b[92m✓ Results added to AnnData object:\u001b[0m\n", " \u001b[96m• 'neighbors': \u001b[1mNeighbors metadata\u001b[0m\u001b[96m (adata.uns)\u001b[0m\n", " \u001b[96m• 'distances': \u001b[1mDistance matrix\u001b[0m\u001b[96m (adata.obsp)\u001b[0m\n", " \u001b[96m• 'connectivities': \u001b[1mConnectivity matrix\u001b[0m\u001b[96m (adata.obsp)\u001b[0m\n", " finished: added to `.uns['neighbors']`\n", " `.obsp['distances']`, distances for each pair of neighbors\n", " `.obsp['connectivities']`, weighted adjacency matrix (0:00:00)\n" ] } ], "source": [ "velo_obj=ov.single.Velo(adata)\n", "velo_obj.filter_genes(min_shared_counts=20)\n", "velo_obj.preprocess()" ] }, { "cell_type": "code", "execution_count": 19, "id": "b0a673aa-7834-4f4f-b34f-9ef13f12ea09", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "WARNING: Did not normalize X as it looks processed already. To enforce normalization, set `enforce=True`.\n", "Normalized count data: spliced, unspliced.\n", "computing moments based on connectivities\n", " finished (0:00:05) --> added \n", " 'Ms' and 'Mu', moments of un/spliced abundances (adata.layers)\n", "recovering dynamics (using 8/384 cores)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "641f3c36bc914b5e94e8fdd2423a8951", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/2097 [00:00 added \n", " 'fit_pars', fitted parameters for splicing dynamics (adata.var)\n", "computing velocities\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/opt/miniforge/envs/omicverse_working/lib/python3.11/site-packages/scvelo/tools/optimization.py:184: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " gamma[i] = np.linalg.pinv(A.T.dot(A)).dot(A.T.dot(y[:, i]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " finished (0:00:02) --> added \n", " 'velocity', velocity vectors for each individual cell (adata.layers)\n" ] } ], "source": [ "velo_obj.moments(backend='scvelo')\n", "velo_obj.dynamics(backend='scvelo',n_jobs=8)\n", "velo_obj.cal_velocity(method='scvelo')" ] }, { "cell_type": "code", "execution_count": 20, "id": "0a164230-bec6-4f30-9615-dad7509804bd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "computing velocity graph (using 8/384 cores)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4ef7502d099d49e4a15b7076d8549298", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/4331 [00:00 added \n", " 'velocity_S_graph', sparse matrix with cosine correlations (adata.uns)\n" ] } ], "source": [ "velo_obj.velocity_graph(\n", " vkey='velocity_S',\n", " xkey='Ms',\n", " n_jobs=8,\n", ")" ] }, { "cell_type": "code", "execution_count": 21, "id": "2f5bb7a6-4b12-4c2a-9d57-9143c568558e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "🖥️ Using Scanpy CPU to calculate neighbors...\n", "\n", "\u001b[95m\u001b[1m🔍 K-Nearest Neighbors Graph Construction:\u001b[0m\n", " \u001b[96mMode: \u001b[1mcpu\u001b[0m\n", " \u001b[96mNeighbors: \u001b[1m15\u001b[0m\n", " \u001b[96mMethod: \u001b[1mumap\u001b[0m\n", " \u001b[96mMetric: \u001b[1meuclidean\u001b[0m\n", " \u001b[96mRepresentation: \u001b[1mX_pca\u001b[0m\n", "computing neighbors\n", " \u001b[92m🔍 Computing neighbor distances...\u001b[0m\n", " \u001b[92m🔍 Computing connectivity matrix...\u001b[0m\n", " \u001b[96m💡 Using UMAP-style connectivity\u001b[0m\n", " \u001b[92m✓ Graph is fully connected\u001b[0m\n", "\n", "\u001b[92m✅ KNN Graph Construction Completed Successfully!\u001b[0m\n", " \u001b[92m✓ Processed: \u001b[1m4,331\u001b[0m\u001b[92m cells with \u001b[1m15\u001b[0m\u001b[92m neighbors each\u001b[0m\n", " \u001b[92m✓ Results added to AnnData object:\u001b[0m\n", " \u001b[96m• 'neighbors': \u001b[1mNeighbors metadata\u001b[0m\u001b[96m (adata.uns)\u001b[0m\n", " \u001b[96m• 'distances': \u001b[1mDistance matrix\u001b[0m\u001b[96m (adata.obsp)\u001b[0m\n", " \u001b[96m• 'connectivities': \u001b[1mConnectivity matrix\u001b[0m\u001b[96m (adata.obsp)\u001b[0m\n", " finished: added to `.uns['neighbors']`\n", " `.obsp['distances']`, distances for each pair of neighbors\n", " `.obsp['connectivities']`, weighted adjacency matrix (0:00:00)\n", "🔍 [2025-10-29 11:08:02] Running UMAP in 'cpu' mode...\n", "🖥️ Using Scanpy CPU UMAP...\n", "\n", "\u001b[95m\u001b[1m🔍 UMAP Dimensionality Reduction:\u001b[0m\n", " \u001b[96mMode: \u001b[1mcpu\u001b[0m\n", " \u001b[96mMethod: \u001b[1mumap\u001b[0m\n", " \u001b[96mComponents: \u001b[1m2\u001b[0m\n", " \u001b[96mMin distance: \u001b[1m0.5\u001b[0m\n", "{'n_neighbors': 15, 'method': 'umap', 'random_state': 0, 'metric': 'euclidean', 'use_rep': 'X_pca'}\n", " \u001b[92m🔍 Computing UMAP parameters...\u001b[0m\n", " \u001b[92m🔍 Computing UMAP embedding (classic method)...\u001b[0m\n", "\n", "\u001b[92m✅ UMAP Dimensionality Reduction Completed Successfully!\u001b[0m\n", " \u001b[92m✓ Embedding shape: \u001b[1m4,331\u001b[0m\u001b[92m cells × \u001b[1m2\u001b[0m\u001b[92m dimensions\u001b[0m\n", " \u001b[92m✓ Results added to AnnData object:\u001b[0m\n", " \u001b[96m• 'X_umap': \u001b[1mUMAP coordinates\u001b[0m\u001b[96m (adata.obsm)\u001b[0m\n", " \u001b[96m• 'umap': \u001b[1mUMAP parameters\u001b[0m\u001b[96m (adata.uns)\u001b[0m\n", "✅ UMAP completed successfully.\n", "🖥️ Using Scanpy CPU Leiden...\n", "running Leiden clustering\n", " finished: found 12 clusters and added\n", " 'leiden', the cluster labels (adata.obs, categorical) (0:00:00)\n" ] } ], "source": [ "ov.pp.neighbors(adata, n_neighbors=15, \n", " use_rep='X_pca')\n", "ov.pp.umap(adata)\n", "ov.pp.leiden(adata,resolution=0.2)" ] }, { "cell_type": "code", "execution_count": 22, "id": "289f7a84-4d49-4427-8755-9ccaeead4ae0", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "computing velocity embedding\n", " finished (0:00:00) --> added\n", " 'velocity_S_umap', embedded velocity vectors (adata.obsm)\n" ] } ], "source": [ "velo_obj.velocity_embedding(\n", " basis='umap',\n", " vkey='velocity_S',\n", ")" ] }, { "cell_type": "code", "execution_count": 24, "id": "5a43e2fb-ff81-4860-832a-5ae7254d718c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Velocity: Dynamo')" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAm4AAAI6CAYAAACet8TyAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAYmwAAGJsBSXWDlAABAABJREFUeJzsnXd4FFXbh++Z2b7pjUCA0BGQIiII0sQuWBCxgVLsigV779jrq6+ifopYsKCCYnttIFWqqCAdQkkC6W3rlPP9McmSSKiCgJ77uvbKZOfMmTOzu9lfnqoIIQQSiUQikUgkkkMe9WAvQCKRSCQSiUSyZ0jhJpFIJBKJRHKYIIWbRCKRSCQSyWGCFG4SiUQikUgkhwlSuEkkEolEIpEcJkjhJpFIJBKJRHKYIIWbRCKRSCQSyWGCFG4SiUQikUgkhwlSuEkkEolEIpEcJkjhJpFIJBKJRHKYIIWbRCKRSCQSyWGCFG4SiUQikUgkhwlSuEkkEolEIpEcJkjhJpFIJBKJRHKYIIWbRCKRSCQSyWGCFG6SfzwzZsxAURQUReGBBx442MvZIx544IHYmmfMmHGwlyORSCSSQwQp3CR/mRtvvDEmMi6++OJ9muPdd9+NzdGuXbv9vMJ/Js8//zwPPPAAzz///MFeyj6Rk5MTe83//HA6naSlpdGiRQt69erFtddeyxtvvMHWrVsP9rIlEonkoCKFm+QvM2rUqNj2p59+SmVl5V7PMXHixNj2yJEj98ey/vE8//zzPPjgg4etcNsVhmFQXFzMhg0bmDdvHi+//DKXXXYZTZo0YfDgwSxZsuRgL1EikUgOCo6DvQDJ4U/nzp3p0qULS5cuJRgM8vHHH9cRc7tjy5Yt/PjjjwBomrbPVjvJ4c1TTz1V5/fKykrKyspYuXIlCxYsoKysDMMwmDp1Kl988QX33nsv9957L4qiHKQVSyQSyd+PFG6S/cLIkSO58cYbAdt6tjfC7Z133sGyLABOPvlkGjVqdCCWeFjxwAMPHDbxePuLW265Zaf7LMti6tSpPPLII/zyyy8YhsH9999PNBrlkUce+RtXKZFIJAcX6SqV7BeGDRuG0+kEYObMmeTk5OzxsW+//XZsW7pJJfWhqirnnHMOP//8M6NHj449P27cOL788suDuDKJRCL5e5HCTbJfSEtLY9CgQQAIIeqIsV0xf/58Vq5cCUBycjJnnXXWDmMMw2DixIkMHjyY7OxsvF4viYmJdOjQgeuvv55Vq1btvwsBvv76a4YPH06LFi3w+/0kJCTQtm1brrzySubNm7dXc5WUlPDUU09x4okn0rhxYzweD36/nzZt2nDBBRfw9ttvEwwGdzhuV1mlNc9v3LgRgI0bN9Yb4F8jgp944onYc+PGjdujddfOxD3ttNP26poPJC6Xi9dee42+ffvGnrv33nvrjAmHw6SkpKAoComJifXe3/ro379/7Jrnz59fZ1+zZs1QFIVmzZrFnvv00085/fTTycrKwu1207BhQ84991xmzZq123NZlsWMGTO444476NevH5mZmbhcLuLi4mjevDkXXHABU6ZMQQix27lq1ty/f//Y9b/44ov06tWL9PR04uPj6dKlC0888QSBQKDOseFwmP/7v/+jT58+NGjQAK/XS7t27bj33nt3GLsr9udnRiKR7AYhkewnPvvsMwEIQLRs2XKPjrn66qtjx1xzzTU77F+8eLFo3bp1bEx9D4fDIR555JGdnmP69Omxsffff/9Ox5WWlopTTjlll+cCxMiRI0UkEtnttY0fP14kJCTsdr5zzjlnh2Pvv//+2P7p06fX2be7+WoeI0aMEEIIkZ+fLxwOhwBEq1atdrtuIYQYMWJEbJ4PP/ww9nx2dnbs+QkTJuzRXDtjw4YNdda7NyxcuLDOsTNmzKiz/5prronte+edd3Y73/r164WiKAIQ7dq122F/zXVnZ2eLYDAohg4dust7/9hjj+3yfB06dNij17Bv376isLBwl3PVjO3Xr5/YsmWL6Nq1607n69q1qygrKxNCCLF582Zx5JFH7nRshw4dRFFR0S7Pvb8/MxKJZPfIGDfJfuP0008nIyODgoIC1q1bx+zZs+ndu/dOx0ciET788MPY7392k86dO5dTTjmFqqoqALKzsznllFNo2rQpuq7zyy+/8NVXX2EYBvfccw9CCO655559WnsoFGLAgAH88ssvADgcDk477TSOPvpoDMNg3rx5/PDDDwC89dZbFBcX89lnn+00MP7+++/noYceiv2elZXFqaeeSnZ2NkIINm7cyOzZs1m9ejWmae7VWmuC+B999FFKS0tJTk7mrrvu2mHckUceCUBmZiannXYa06ZNY+3atbt9XQKBAJ988gmwcyvowaZbt2507do1ll36448/0q9fv9j+Sy+9lJdffhmwX6/hw4fvcr6JEyfGrFu7i8+8/PLLmTx5MqmpqZx55pm0bNmSQCDAN998E3v/3HnnnRx77LExK9ifKSoqAqB58+Z0796dli1bEh8fTzAY5I8//uDrr78mGAwyc+ZMzjzzTGbNmoWmabtcl67rnHvuuSxZsoQ2bdpw+umnk56ezoYNG/jwww+prKxkyZIlXHPNNbz++uuceuqpLF++nNatWzNw4EDS09PJycnhgw8+oLKykuXLlzNmzBjef//9es+3vz8zEolkDznIwlHyD+Omm26K/Zd92WWX7XLs5MmT6/x3X5vS0lLRpEkTAQhN08QLL7wgTNPcYY4VK1aIVq1axcYtXbp0hzF7YnEbO3ZsbEyjRo3EL7/8ssOYb775Rvh8vti4l156qd65vvjii9gYRVHEww8/vFNrw6JFi8T48eN3eH5XFrcaaluBdseUKVNi81166aW7HDthwoTY2Guvvbbec3KQLW5CCHHDDTfEjj3++ON32N+lSxcBCFVVxaZNm3Y6j2VZonnz5rH3UH5+/g5jal83IM477zxRXl6+wzw333xzbMwJJ5yw03Pecccd4tdff93p/sLCQnHqqafG5nrjjTd2Orb2ugBx3333CcMw6oxZs2aNSEtLi92PGovhzsampqbG3r8bNmyo97z78zMjkUj2HCncJPuV33//PfZHOiEhQQSDwZ2OHTRoUGzsU089VWffgw8+GNv3zDPP7PKcy5cvF5qmCUBcfPHFO+zfnXArLCwUHo8n9qU2f/78nZ7r3Xffjc2VlZUldF2vs9+yrDrup125cHfF/hZuuq6LBg0axF6XQCCw07H9+/ePnXvRokX1nvNQEG5vvvlm7Nj6XPP/+c9/Yvsffvjhnc4zY8aM2LhBgwbVO6b2dR9zzDE7vO41RKNR0bRp09h76c/ibm8IBAKiUaNGAhA9e/bc6bja9/DCCy/c6bjHH3+8ztiLLrpop2Mfe+yx2LgXXnhhh/378zMjkUj2DincJPud2jE2kyZNqnfMtm3bYnFX9Vk5srKyBCAaNGiwR3/oa+JsUlNThWVZdfbtTri9/PLLsf1nn332bs9VW5h98803dfbNmjUrti87O3sHa8aesr+FmxBC3HLLLbE5dxb3tWHDhlisV8eOHfdp7XvKXxVuta2IycnJO+wvLi4WbrdbwK5j+0aOHBmb55NPPql3TG3h9vnnn+9yXWPGjImNnTVr1t5d1J+48sorBSCcTqcIh8P1jql9D5cvX77TuX799dc6Y//44489Gjt69Ogd9u/Pz4xEItk7ZFapZL9TO0aodkeE2rz33nsYhgHAaaedRmZmZmzfmjVryM3NBWDAgAE4HLsPxezUqRMAxcXFsWzLPWXu3Lmx7XPOOWe344cMGVLvsUCdDNCLLrpot3FJfyeXXnppbPutt96qd8zexHodbOLi4mLb9XXrSElJ4eyzzwaIxfb9mUAgwMcffwzUzYzeGZqmccIJJ+xyTJs2bWLbBQUFuxwLduuvzz//nNdff53nnnuOp59+OvZYv349YMevbdiwYZfzNGrUiPbt2+90f4sWLeqM3VVrudpj67uG/fmZkUgke4dMTpDsdy666CJuvvlmotEo3333HXl5eTsU1d1Vi6vff/89tv3+++/vNDh6ZxQWFtYp27A71qxZE9vu0qXLbscfddRRse21a9fW2VdT2gTgmGOO2eM1/B0cccQR9OzZk3nz5jF9+nQ2bdpE06ZNY/tFrTIuDoeDYcOGHayl7hG1xVpCQkK9Y0aPHh1LgHnrrbd2SMr4+OOPY8kvF110ES6Xa5fnTEtLw+fz7XJMbUFZM/efEUIwceJEnnnmGZYtW7bL+WooKyvb5f4mTZrscr/f79+nsfWVBdmfnxmJRLJ3SIubZL+TkpLCGWecAdj1qt599906+3/99Vd+/fVXAFJTU2NjayguLv5L59/Tul011P5CTE1N3e34tLS02HZJSUmdfbXXnp6evlfr+DuosbpZlrVDrb1Zs2bFLDwDBw4kIyPjb1/f3lBaWhrbTklJqXfMiSeeGBOnkydP3uG9UfsfiD2xMHo8nt2OqZ01WdMRpDaWZTF8+HBGjRq1x6IN7Jprf2Vttde1N2Pru4b9+ZmRSCR7h7S4SQ4Io0aNipWUmDhxIrfddltsX+0vy/qsHDUuVICTTjqJk08+ea/OXdvNcyCocSUCuyxtcCiWPTj//PO54YYbCAQCTJw4sU75lNru00PdTQrExD9Qx3JYG1VVGTlyJA899BAVFRV8+umnsdIgGzdujLm2u3TpskeWo/3Ba6+9xqRJkwCIj4/n6quv5uSTT6Z169akpaXh8XhQVft/6j+XlTlc2dPPjEQi2T1SuEkOCKeeeiqZmZls3bqVP/74g0WLFtGtWzcMw4h9aUH9La5q/wffvHnzXfaw3B8kJyfHtouLi3fbK7W2Va32sVB37XsS3/R3ExcXx3nnnceECRPq1HQLBoOxWK+MjAxOP/30g7zS3VO7Q0HtTgp/ZtSoUTz88MMIIerUdDtY8XwvvfQSYLujZ8yYQdeuXXc6try8/O9a1l6xPz8zEolk75CuUskBQdO0OkVPa6xs33zzDdu2bQOgY8eO9X5ptW3bNrb9dwQyt2rVKra9dOnS3Y6vPab2sUCdgO+FCxf+5bUdCGr3+qyxsn388cexmLHhw4fH+s4eqixcuDBW+BXsJJad0axZs9j+mtg+2N4j1+VycdFFFx3A1W4nGAyyfPlywBabuxJtwF65Uv9O9udnRiKR7B1SuEkOGLWtGO+//z7RaHSPYoo6deoUi4lZtmwZixcvPqDrPO6442LbU6ZM2e34GhcwQK9eversq10p//3339/rrgh7Q4242ttz9O7dO5b5WBP3tatkkUMN0zTrWGGPPvpo+vTps8tjasRqTWzfrFmzWLduHQBnnHFGnRisA8mexOXVsG3btnozYQ8F9udnRiKR7B1SuEkOGO3bt49lVhYXF/POO+8wbdo0YNdZi4qicOWVV8Z+HzNmDNFodI/OWTuWZk8ZOnRoLFj7s88+Y8GCBTsd+8EHH8SyXrOysnYoDXHcccfFWk3l5OTwxBNP7PV69pSaTMraYmBPqREyFRUVPP/880yfPh2wW0l17Nhx/y1yPxONRrniiiuYOXNm7LmHH354t8edc845MRfdxIkTD1o8X3JycizGa+nSpbt8v95+++1EIpG/a2l7xf78zEgkkr1DCjfJAaW29ebGG2+MfRHV9DXdGTfddBONGzcG4Oeff+bUU0/dZX22VatWccstt3DTTTft9RpTU1O5+uqrAdsiM3jw4DqB7zV8//33XH755bHf77rrrnprzD3++OOx7XvuuYdx48ah63q95160aBGvvvrqXq8ZtruUA4EAixYt2qtjR4wYEVv7fffdFxMQu7O2NWvWDEVRUBRlp7XgDgSWZTF16lR69uzJm2++GXv+/vvv57TTTtvt8R6PhwsvvBCwy1HUWBgzMzM59dRTD8yi68Hn88Xco2vXruXee+/dIWszEokwduxYJk6ceMgG8u/vz4xEItlz5CdIckC58MILuemmm4hEInVqWu3OypGSksKnn37KSSedRHl5OdOnT6dVq1YMGDCArl27kpiYSCAQYOPGjSxYsIBVq1YBdYvM7g3jxo1j+vTpLF26lLy8PLp168bAgQM56qijME0z1jC7RuCcccYZsS+uPzNw4EDuuusuHn300Vjj+1deeYXTTjst1mQ+JyeHWbNmsWbNGs4666w6FsY95dRTT43VuDvjjDMYNmwYTZo0iRX9bdeu3U6tG7Ubz9e4Wt1ud0zcHAyefvrpOr9XVVVRVlbGypUrWbBgQR3LotPp5L777quTFbs7ajeer7nmiy+++G8vknzbbbdx/vnnA/b77vPPP+f4448nIyODzZs3M23aNPLy8sjIyODMM8/k//7v//7W9e0p+/MzI5FI9oKD0a5B8u/ivPPOq9NqJz09XUSj0T06dtWqVeLoo4/eoZF2fQ+n0ymeeOKJHebYkybzQtiN7U8++eTdnmfEiBE7bRpfmxdeeEH4/f7dznfuuefucOyetLyKRqPi2GOP3eU6d0XtllFgN07fHQeyV+mePBwOhxg8eLBYsmTJPp2zpvF8zWNXLaJqszftxSZMmLDbe3TnnXfu8jqbNGki5s+fv0fvg5r9/fr12+3a9vfY/f2ZkUgku0da3CQHnFGjRvHRRx/Ffr/ooov2OGuxTZs2LFq0iK+++opPPvmEuXPnkp+fT1VVFXFxcTRu3JhOnTpxwgkncOaZZ/6lordJSUn873//46uvvuK9995j7ty5bNu2DVVVadSoEf369WP06NH07Nlzj+a7/vrrOf/883n99df55ptvWLNmDSUlJbjdbrKysjj66KM544wz9qhlUH04nU6mT5/Oiy++yGeffcaKFSsoLy/f42SFQYMGkZGREStbcijVbnM4HMTHx5OYmEhmZiZHHXUURx99NAMHDqzTHm1vGTVqFDfccAMAPXr02GWLqAPJo48+ygknnMBLL73EvHnzKCkpITk5mebNmzN48GAuv/xyUlJS+Oqrrw7K+vaU/f2ZkUgku0cRYh+iuSUSyWFPZWUlmZmZBINBsrKy2Lhx4yHVW/VAcO+99/LII48AMH78+H1yUUskEsnBRCYnSCT/Uj7++ONYC6hLLrnkHy/ahBC88847gJ2scMEFFxzkFUkkEsneI4WbRPIv5bXXXgPs8iv7mtRxOPG///0vlpk8dOhQEhMTD/KKJBKJZO+Rwk0i+RcydepUfv75Z8DOTm3ZsuVBXtGBRdd17r333tjvY8aMOYirkUgkkn1HJidIJP8CKisrmThxIoZh8Mcff8TaPSmKwgMPPHBwF3eA+OGHH1ixYgWlpaV88sknsTpjp59+Ot27dz/Iq5NIJJJ9QyYnSCT/AnJycmjevPkOz99888071E/7pzBy5Mg6rbwA0tLSWLhwIc2aNTs4i5JIJJK/iHSVSiT/MhISEjjmmGN45513eOqppw72cg44qqrSrFkzRowYwZIlS6Rok0gkhzXS4iaRSCQSiURymCAtbhKJRCKRSP51lJSU8PDDD9O1a1eSk5Px+/20bduWMWPGsGLFioO9vJ0iLW4SiUQikUj+VcydO5chQ4awdevWeve73W6ef/55rrrqqr95ZbtHCjeJRCKRSCT/GtauXUv37t0pLS1FVVWuueYazjnnHDweD7NmzeLxxx+ntLQURVGYPHkyQ4YMOdhLroMUbhKJRCKRSP41DBo0iC+//BKACRMmMHLkyDr7ly1bRo8ePQgGg2RmZrJ27Vr8fv9BWGn9SOEmkUgkEonkoBMIR5g6+1dmLF1NeVWIxDgv/bu04ezenfF73PvlHMuWLaNjx44A9O/fn+nTp9c77oEHHuDBBx8E4KWXXuLaa6/dL+ffH0jhJpFIJBIJEDUjGKaOU3Ph1Fw77LeERdSM4FAdOFRn7HnD0ikPl6BbUdyahwR3Mpoq69vvKaZl8dQH3zHh63koikI4qsf2eVxOQDDy1J7cesFJaOpfy6msLcjeffddhg0bVu+4zZs307RpU2DXAu9gIIWbRCKRSP51mJZBebiEqBlBCIuqaAW6FUVVVCxh4VAcpPkbEu9OwqE6KQzmUxYqwhImCgp+VwIN4hoTMcNsLFtNMBpAVRTcDi9O1UnTpNZ4nYeOe+1QxbQsLn/6Peb8vo6Ibux0nNvp4LiOLXn9lmF/Sbwdf/zxzJgxA4AtW7aQlZW107GtWrVi3bp1uFwuAoEADsehIcYPjVVIJBKJRPI3EdIDbClfh25FKQsVk1uRQ0ivwOWIw+f0YVomhtBxqk7SfJl4nHH4nXGYwiQQrSBqRlCDWykNFVEYyGdb1SaiRgQLgUN1kOhJoTCYz5EZx5DkTTvYl3tI89QH3+1WtAFEdIM5v6/jqQ++446LTtnn8/3xxx+AXYh8V6INoH379qxbt45oNMratWs54ogj9vm8+xMp3CQSiUTyr0EIQV5FDqYwKQpuo6gqj21Vm9EtHd3MxbRMNNVJkicZl8ODU/OQW5lDiicDTdWqxVsVESNIcXAewWgVDtVJ1IpgWQaqqlERLsWyTNZoy0iPa0SqNwO/KwFVkaVTaxMIR5jw9bzdirYaIrrBW9/M47pz+u9TzFskEqGgoACAJk2a7HZ87TGbNm2Swk0ikUgkkr+boF6JbkWJGGGC0SoKAnlEjCBh0xZeAoFpGVRFNeIVlYpwCYqisKViA2m+THLLNlBcVEplcRW5W7dQVRoiVB4lHIjg9jvxxLnwJriJS/iN9JRMmjVswZHZXclIaUCjhGb4XfEH+xYcMkyd/SuKouzlUQpTZ//KsBO77/X5KisrY9txcXG7HV97TO1jDzZSuEkkEonkX8HkyZMZe9ONNG3RhFYdmuFv5MaVYZCQ5cXlta1pigChKoSNIB6Hn5XL1vDrTytYMmsZJXllBCpCAPgSPPiSPMQle/EleXB5HUQ26oSrIoSqooQro4SrokQCEYQAj9dN46ZZtGnZlhYtWtK8efM6j8TExIN8d/5+ZixdXScRYU8IR3VmLF2zT8ItFArFtl2uHZNP/ozbvd2qV/vYg40UbhKJRCL5V5Camkp+3lZyt+Qxf85CHC4N0zAxdQtvgpvUxok0aJFMuErH5XWQ88tWQhUROvRqSe9zu5DZLBVfsgd3goalmliWiQAEFlBjObLz/RRUnKoThIpfJGGWq4hyF6LMSUFuMbNnz+add95hw4YNlJeXk5ycTPPmzWnRokUdQdeiRQuaNWu2R0LjcKO8at/EUEVg347zeDyx7Wg0utvxkUgktu31evfpnAcCKdwkEolE8q+gT58+eL1eAoEAlmkRDVmxfaGKCFv+KGDLH3YMVNMjGzD0llPofGwHnC4n5aEiQkYQqqWaEKJmq3qGHQs0WMJEVRRUjyA+0UeiO5XOjXrRNq1TnXGlpaXk5OSwfv16NmzYwIYNG5g2bRrr168nJyeHSZMmcc455xyYm3IQSYzbNzGU4N+34+Ljt7upq6qqdju+9pjaxx5spHCTSCQSyb8Cp9PJoEGD+Oijj9hZJSxFVThzbG+6D+xEkjcFj8ODwMKpuQmbQYQARVHRFBVh6Yjq8iACgYLKdoubjaZoWMJECIEpDIoD+fAn4ZacnExycjJHHXXUDuuxLAvLsnZ4/p9A/y5tmPXbur1yl3pcTvp3ab1P5/N4PKSnp1NYWMjmzZt3O772mJqabocCMsVFIpFIJP8ahg4dittTv9tRdagMv/90jjvzaBI9yTg1DwoKhqWjWxGEBRYCtVq4ORQnmqJVPxxoaKiKA1XRUFBRcaBpDlvoqQ5UVUUgsMSeCzFVVQ+Z+mH7m7N7d96pgN45grN7d97nc3bo0AGAiooKcnNzdzm2pnSIy+WiVatW+3zO/Y0UbhKJRCL519C6bSsi4R3jmzSHxtVPXMSAgf1olNCMFqkdSPFl4HX5cWteQMGp2UINFByqC7fDg9fhJ9mbTkp1yQ+/Mx6H6kRTHTg1Jw7FiUN14nP6iXcl4nfGI/ZCuP2T8XvcjDqtJ27nnglTt9PByFN7/qX2V/369Ytt1xTirY/Nmzezbt06AHr27HlIiWcp3CQSiUTyj8c0TZ5++mmO7d6TtPTUOvscTgf3vjyWE045nubJR9Cz6Uk4VAe6aQenOzQnHocHVXXg1Ny4VDc+p59UbwYN4hrTKKE5XRr2pEODbjRJakmarwF+VwIJ3hQS3Mk0jM+u7sKQTIInRbbDqsWtF5zEcR1b7la8uZ0Oendsya0XnPSXzjdkyJDY9v/93//tdNwbb7wR2z733HP/0jn3N7LllUQikUj+0axdu5aRI0eybds23nrrLZYuX8KtY28jFAzjcrt48d2n6NyjAyBoldoJj8PLvE3fUhTcGpujKlKObkUxhYVlmSS6k3E7vbgdXpomtCDOnYxuRqiMlCKA8kgJUSOMU7NFns8ZT7w7iayE5iR4kg/avTgUqelV+tY384AD26sUYODAgXz11VcATJgwgZEjR9bZv3z5crp3704wGKRBgwasXbt2j+q+/V1I4SaRSCSSfySWZfHyyy9zxx13MHr0aB577DH8fj/FxcWkp6fj9rh5c/IrtOrclLARIsmTilOz3XDFwQIqqhvHKyhoqpOAXk4gYhdijXcnkebLpG16ZzLiGqMqKqZlVvc6NQkbQYqDBQR1e7xTc5PmyyTRk3LQ7sehTiAcYersX5mxdA0VgRAJfi/9u7Tm7N6d/5J79M+sXr2aHj16UFZWhqqqXHvttZxzzjl4PB5mzZrFY489RmlpKYqi8MEHH3Deeeftt3PvD6Rwk0gkEsk/jpycHEaPHs369euZMGECffv1pSJSQtgIoioOXnn+VU44YQBtOrYiv3ITuhkFLNyaD5fDTWm4iPJQKQ5VqzOvaRmk+TPp0KA7HoeXwsJC5syZQ15eHmVlZZSWllJWVhbbLi0rJRAI4HF78Hq9eDz2z9rbL7zwAn6/bEj/dzJ79mzOPfdctm3bVu9+l8vFs88+y7XXXvs3r2z3SOEmkUgkkn8UU6dO5ZJLLuHCCy/k6aefxuV1srl8LSE9QFgPUqVXYFoGSd40SoMFhI0QXud24eRx+kj2plMeKiZihjEtu5emoigQcrF1eRnzZv3MjBkz+OOPP+jQoQPZ2dkkJyeTlJS0w0+/308kEiEUChEOhwmFQnW277rrrjpV+iV/D8XFxbz00ktMnTqVDRs2EI1GycrK4qSTTmLMmDG0b9/+YC+xXqRwk0gkEsk/hhdffJE777yTt99+O1a0dvm2ReSUraIyUkYgWoHP4SfBk4qqqpSHSwCIcyXgcfhi88S7k0jxZdAwPpufl8zmnQmTWDRnCSv+WEmHDh04/vjj6d+/P3379iUtLe2gXKvk34kUbhKJRCI57LEsi9tuu42JEycybdo0jj32WAC2VW5h+vopBPQqwkYIw7ID333OOBLcKRhWFE11oCkOkr3bBZiqargDSbz5/DtMmjSJCy+8kNNPP51+/fqRnp5+UK5RIgHZOUEikUgkhznhcJgRI0awePFi5s6dS+vWdmV9w9T5JX8ORcFtgMCwDBTFzkoM6lVYlkWSJ5VIJIqhhyDowIiaFOQV8dM3c/jmw+mcffbZLFu2jJYtWx7EK5RItiOFm0QikUgOW0pKShg8eDDhcJi5c+eSkZEB2EkEa4p/oyiQj4kFQjDzk8V8/fpsLNPCMixM00JY9TudGmc3Yu7cuXTp0uVvvBqJZPdI4SaRSCSSw5Lc3FxOOukkWrVqxddff43Ptz1GrThkJx2ggFNxoAudRi0zCAci9fWDr0N6ZjqLf1tIRkKjA3wFEsneIzsnSCQSieSwY9OmTfTr148ePXrw6aef1hFtAFWRMlyaG4/Di1Nz41SdtO7ajJZdmqCoyk5mBZfbxRf/myJFm+SQRQo3iURyyPD777/H+gPWx8KFCykpKdnp/iVLlhAKhXa6f+XKlRiG8ZfWKDn4bNiwgX79+nHiiSfyxhtv1NtH0hIWmuog098Uh+a0Oxg4/FwwdqBd1qMeXC4XL7/yMt07HXegL0Ei2WekcJNIJIcEU6ZMoVevXnz//ff17v/hhx8YMGAAP/zwQ737V61axYABA/jxxx/r3R8OhznhhBP4+uuv99uaJX8/a9eupW/fvpxxxhm88sorqDtpgeR3JQCQ6m9Ay+T2+F0JOFUXrdq3pMcJXXcQe263m1NPPZXRI0cf8GuQSP4KMsZNIpEcVCzL4pFHHuHpp5/m7bffZvDgwTuMmTZtGhdeeCGvvPIKQ4cO3WF/eXk5Z511FldddRUDBw6s9zxvvvkmqampO90vOfRZuXIlAwYMYNiwYTz55JM7tZwBpPoaUBUpw8QkIy7L/j1ajorGlaNSmfdtXYEWHx/PhAkTdjmnRHIoIOu4SSSSg0YgEGDkyJEsWrSIzz//nI4dO+4w5sMPP2T06NG88847sYKqtbEsi7POOgvTNJk2bRqapu0wJhKJ0KpVK5599tl6hZ/k0CcvL4+jjjqKK664goceemiPBFbECFEU3EpVpBywrXBLZv/OsAuG06FDB5YuXUokEsHhcPDtt99y/PHHH+jLkEj+MtLiJpFIDgobN27krLPOIikpiYULF9Zbff6NN97ghhtu4JNPPuHUU0+td5777ruPVatWsWDBgnpFG8Bbb71FQkICQ4YM2a/XIPn7aNiwIW+99RannXbaHh/jdnjJSmge+73mn4A33niD/v37k52djdPp5Prrr5eiTXL4ICQSieRvZvr06SI9PV1cc801IhqN1jvmueeeE/Hx8WLGjBk7nWfy5MkiPj5eLF++fKdjIpGIaNq0qXj//ff/8rr/bizLEpZlHexl/CN45ZVXRFxcnPj6669jz91///2iU6dOIhKJHMSVSSR7hxRuEonkb8OyLPHss88Kn88nXnvttXrHGIYhbrjhBpGWlibmz5+/07kWLVok4uLixNSpU3d5ztdff10cccQRwjCMv7T2g8Hzzz8vhg8fLoXFX8CyLDFu3DiRlJQkZs+evcO+w/F9Ifl3I2PcJBLJ30IgEODSSy9lzpw5fPLJJ3Tv3n2HMZWVlVx44YWsX7+eL774ghYtWtQ716pVq+jduze3jx3LjcMuQoTDoGmoiUmoqako1ZmGuq7Ttm1bHnroIYYPH35Ar+9AsHXrVgYNGkRCQgKffvopSUlJB3tJhxWWZXHrrbfy3nvv8e2339KpU6eDvSSJ5C8jy4FIJJIDztq1azn22GPZunUrixcvrle0bd68md69exOJRJg7d+5ORduWLVs4+eSTGX3+eVzXvy9mfh4iEgFDxyouxMzdEhs7ceJEXC4XF1544R6tc/LkySxfvnzfLvIvIoTgwQcfJCcnJ/ZcZmYmM2bMwO/3c9xxx7Fx48adHq/rOhdddBHz58//G1Z76GOaJldeeSVTpkxhzpw5UrRJ/jFI4SaRSA4oX3zxBd26dePkk0/m+++/j/WSrM2iRYvo3r07xx57LF999dVOLUvFxcWcfNJJnHjssTxwztlYwQBWVSVGfi5GXh5mcTFmXi5maSnRaJRHHnmEe++5Z6e1vv7Mk08+yYoVK/7K5e4Vtc+lKArbtm1j6NChRCKR2PNxcXFMmTKFfv36ceyxx7JkyZJ651JVlU6dOnH88cdzzz33EI1GD/j6D1UMw2DUqFHMnDmTWbNmyQbxkn8UUrhJJJIDghCCp556igsvvJDx48fzzDPP1Fvh/tNPP+X444/n1ltvZfz48Tidznrnq6qqYuDAgRzRvDkv3XEbWHaDcLOsHGPjRvTVqzFyN2OWFGOsWskbzz6LV1U5O6shkdkziS5fjhUO73LNOTk5ZGdn75fr3x2FhYUcc8wx/PTTT7HnnnvuORRF4cYbb6wz1uFw8N///pexY8fSv39/vvrqqx3m0zSNO+64g59//pkvvviCHj168Pvvvx/oyzjk0HWdYcOGsWTJEn766SeysrIO9pIkkv2KFG4SiWS/o+s6V111Fc899xwzZszgggsu2GGMZVncf//9jBw5knfffZebbrpph9pcQgisqkpCG3MYPHAgfrebt+6/D8XQsQIBjM2bMDblYAUCiFAAc8sWjHXrqPz9Vx57+mluHzIYRdcRkTBm/haiixdiVVZilhRjbt2KWVKCME3AjsErKiqiWbNmf8ctIj09nXHjxjF69GgCgQBgV++fPHkyH330Ee+++26d8YqicNttt/H6668zdOhQXnzxRaywjhWp28KrU6dOLFiwgIEDB9KjRw8ef/xxzOpr/KcTiUQYOnQoq1evZsaMGWRmZh7sJUkk+x2ZnCCRSPYr5eXlnHfeeeTn5/Pll1/SpEmTOvuFZVGen8+IUaP4feVKPhn/Ch07dUJNSUWt1ShcWBb62jWEt2xm2D33kretgC8euJc4jxcFgVVQgBWJgK6DZdo/UUCBCYuW8NrPC5hz/924klNRE+JR3G5EVEfxeHA0qtVAXNXQGjdhZU4O3bp1IxAI/G3V8y3Lon///nTp0oX//Oc/see//vprhg4dys8//8yRRx4JgFEWxCwNInSLeQvmcd71lzLk5EE8eduDuOK9OBslovnddeafP38+l1xyCampqUyaNOlvE6UHg1AoxJAhQygqKuKbb74hJSXlYC9JIjkgSIubRCLZb2zatInevXujqiqzZ8/eQbRZwSArp//IcX36UFVcxKznn6VdfBxWRTnmpo1YlZWxscbmzYRWr+KSu+5mU24un4y5Gn8wiLV5E1ZRIULXIRIGQ4dwBAwDTINIJMIzP83ktv59USNRRDSMVVmF0HWsqkqsyoqYlc1elImZl0tOTg7NmjX7W1seqarKm2++yZtvvlnHZXraaadx0003MWTIECoqKojmlRHdVIpRFiKaW0Znb1O+f/IdZi6cy5DrRlBaUEw0p3gH61uPHj345Zdf6Ny5M0cddRSfffbZ33ZtfzevvfYa5eXlfPfdd1K0Sf7RSOEmkUj2C4sWLaJHjx707t2badOmkZCQUGe/ME2++eB9jjtnCCd07cKURx4m2e3GKi/HLCwEBGbBNmqcAJH1a7n00cdYl5/PZzdeR4rfh4hEENEIVkUlCAuEgKhub1czaelvxLtcnNXuCNCjiKgOCKzKKrAsUBT7uNoYOjlr1vxt8W21adWq1Q4uU4D777+f7OxsRo0YiV5YRXRrBaGVWwmtzEcvqqKhiOfLu14FSzDgkrPZsHEjRlHVDvP7fD5eeeUVxo8fz8UXX8zYsWP/kYkL1113Hd999x2JiYkHeykSyQFFCjeJRPKXWbRoEQMGDOCWW27h5ZdfrjcJ4cXHH2fotWN4YtQIxp1zDkpeLnruZoxNOejLlxFZscK2uEUiGKEQlz70MH9s3sLnd9xKij8OdANhVFuUhLC1lyWAahGmauiWxfNz5nJz716owoJQCKuoEKOwEKuyAgwDxedHqWd9Gzds2C+uxH2JPrnuuuvIysrizjvvjD2naRrvvfceC+Yv4PkXnie6qQSrKoJVFSG6tZxIfhme4ihvX/MYfdp1pd/wQcyZMwejMoxeVIVeUIEZiMTWc/7557N48WJmzJhB796965Qd+Segqiq+Wq52ieSfiuxVKpFI/hJr167l9NNP58EHH2Ts2LGx50V1BqclBE/eew9Pvfoa0+68g26NG2FtzUcIC0wT4XCiqCrWtnz0SATS07ns1ttYunYdX99xK2n+OEQwiIiEQTfAtEBVQI/ami3m2hR8smw5TlVjcLsjbOuaEBCJQCSCVe6AxESU5GREJGLHvAlhx8YpCpvy8ujctesur/W6665j4MCBO+2bevPNN9OiRQuuvfbavbqHNS7Tzp07M2zYMHr06AHYCQxvP/Uyg0afT+eMlnTLOgKjOIAVNcASRFUFNRTloZMvp0VcJgMvPpenL7uDczsPAEVBiXPhykjA1TABV5MUWrduzbx587j55ps56qijmDBhAmefffZerVUiOZwpKytj8eLFLFy4kEWLFrFo0aJYfcTs7OzD4h8aKdwkEsk+s23bNk455RQuufhirh8xAjM/DysStWPPhIVVUcmjL7zAS9O+YNptN9OxYSYYuh2fZhjg0MAwEE4nCipmSRFjRo5k/ooVTLv6ClICVVh61B6j66CqtlCzLFBUwAJVA0PHNE2enTWHsb16oKmqLdqEABRb6CkKQtWwioswPV6U+HgIVCFME8XtJWftWgadvusG5hs3bmTNmjU7FW7HH388o0aNYvjw4XvtsmvVqhW3334711xzDQsWLEDRLcyKMF0zW3P32Vdw+fj7+PryZ0m2vLZgFYBhYVVG0E3BRS37kz0sjavefIxlXX/jll7n49CchOOK8LbOwKyI4GwQjzs7lf/+97/069ePESNGcPvtt3PnnXf+rbF9EsnB4qijjjosxNmukK5SiUSyT1RWVnL66afTs3t3xl1xOVbBVsyCbRhrV9tlOgoKefCFF3j5iy/54rab6NSsme3iDAbtLFDTgGjUfhh2yY4HP/2MH5f8wtRrr6JhSgpYAhEK2ckEhmE/LNtSZ1vcqhWM08nnq9cSMgzOO7LD9hg2RbH3qxqomt0KyzCxyksxt+YjTAvF60NNTWFTbi5N3B67C8NOSE9Pp7CwcKf7Bw4cyJFHHskTTzyxT/f0tttuo6KigpeeeJbw6gL0rRVYAZ2Rx55B9ybtuXbyU5hYtovYrPkpsKrCiECYXgmtmHrew/zvj3lc+fGTVJaVY5UGCa/eRmRzCXphFfq2CgDOO+88Zs6cyYsvvsiNN96IZVm7WZ1EcvhTO5QhNTWVk08+mbi4uIO4or1HCjeJRLLXRKNRhgwZQmpqKuPvvgvF0BHhMGZenp25GQ5x77PP8saXX/LljdfTITkFEQqjery26KoRCZawEwtMk1d++JGJ837m46svp1FCIpYlwO2yxxkGaI5qixu2EItZiBQsVeXpmbO44bhedgFfRbHHgi3iDB2iUayojuJyASpqQgJaZkO01FR0wyC/sJCmjTKxSop3et0ZGRm7FG6KovD000/z/PPPs3nz5r2+rx6Phxcef5r7H3+EbcX2eVS3A2eijyfPGENBVSnPzJwEhll97wREDYiYoFugW7TwZzLlnAcJGxHO/fg+NhfnY1aECa/MJ7y+iMDCjUTzyhFC0OnIjsz5aRZfffUVw4YNq9OxQSL5JzJmzBg++ugj1q9fT1FREf/73/9ITU092MvaK6Rwk0gke4UQgksvvZTiwkLef+wxtK156KtWEV2zGqOkBCsU4s7/vsKk6TP4csy1tE1OwopEsMrLsIIBhKu61piigMsJbg8fL/uDcf/7jo8uHUWbhESIRiAYtDNGNc0e73bZ2y6XLd5qcLv4ZvUaioNBhh/dFRzVAq/GVSpEtZXOgHAQs7gYq6oSxekGBYRhsGnTJhyaRoawMLZswQoF67329PR0CgoKdnl/jj76aM455xzuueeefbq/A7r0YsCxfbj72UcAUBM8qPFu4vxxjD/zFt7+9Vum5yyt9YL86QEkuuN4a9Dt9GjYjrM/uofFG5djBXWMwkqMokqCSzZSNW8DoT/yyQx7+X7iFNasWs2gQYOorFWSRSL5O9EjOmtmr+WnV2fx3fM/8NOrs1gzey16RN9v57jlllsYOnQozZs3329z/t1I4SaRSPaKSZMm8f133/HZSy8Sp4JVVo5ZUoxVWopVUsz7P/zI+7Pn8MVVl9M6LQUQKJbt2rQKtkEwAKgxQfXjmrXcMPljJg67kKNbNItZ4OpY5VC2JyI4ndvFmaIgTJOnf5jBdX164/F57edrEhP+jGUh9ChmOIyea3dZiK5ayfqf59M4LQ3FMBDhEObGjVhlZTscvjuLWw3jxo1j8uTJ/PLLL3t9f4Vh8sSt9zPtx2+YvfhnFJcDBJihCK3iGvBAnxHcOn08haHymFAD6opZwKFoPNhnJDd2G8IlUx/jp3W/YFaEMQJRIlvKCP2Rh6Xb9ezS45L58r+TwLQ4/vjjdytOJZL9iWVZLP3sVz65fQpLPvmF3N9zKVxbSO7vuSz55Bc+vWMqSz/7Vbrzq5HCTSKR7DGFhYXccMMNvPDQgzRITUGEQlgV5TGRtamsjFvem8SL55xNi+QkOz4tErEzTKNROy4rEgFFgMPJkrx8Rr7zHv8ZNowTux6F6nbbwkzXbQuZZdpCrjo2DVXbLuhME0yT75evYHNpKSO7HY3dOaGWm7Q2NRmkqgq6jqgowygowCopZuPmzTRJSsQKR1B8fmI15f7UKmp3MW41ZGdnc9111+1T7JjqdpLVoBF3XnkjNz50J+WzVxPZVIwwBSgKQ9r1pWfjDtzy43ismvp1CjsItxouPvIkxvUdzZVTn+R/S2djbKsguqkEPb+MyNoCzKDtHo33x/HJC2/Rpk0b+vXrR1k9wlUi2d9YlsXM12azcvoqLMPC1Ot+5kzdxNRNVk5fxczXZkvxhhRuEolkLxg7dix9+/ZlcP/+CNNCBEMoTjs53bRMrpr4Ducc2YFTm2dDOGyLNMMA1OoYtWp1IQRV4RAXv/s+t590Auf27Y3Wpu322DUh7OOqS3nYiQgmiqbZ4s8wQFURqsZTM2dzba9j8Tsddiybadou1T/XalNVcDhtYRgO29aqaAQswabiYpokJyMClSg1tcAsExGoW9C2QYMG5Ofn71GttnvuuYe8vDwee+yxnY4RlsAoDRLdUko0vxwrpONIi8PSDS497mz0YJg3v/wIo7AKgnbRXMWhMm7A5awry+PNZf8DDfu+qupO/6Kf3aY3z558LWM+e4bPf/sJoZuYVVGiueXo+eVY1a4oh1B5+823aNmyJRdccMG/psep5ODx27Tf2bpyK5axa0FmGRZbV27lt2m//00rO3SRwk0ikewRr776Kp9//jkvvfSSLZqiEcBCiUtAcbr4z9ffsK2snHGnnbo9caCmdAcWUB1rZth9RZ+d/hNNkhK5pns3RGEhIhy2i+N6PHYcm6bZYk/T7NIfAoQetYUcgKry06ZNrC0u5tJePe1zOarHV1vjbDGj2oLQ4bCtUlEdxaGhOBwoHjeKw8HawkJaNW4MQvlTO6y6Aq1du3aEw2HWrFmz2/sVHx/PRx99xKOPPsrMmTN32C90k8jaAqKbSzFKghiFVYRW5BPZVIyeW4a5pYJ7e1/MMzMnUVJVDij2eixI8Ph5YdANPDP/I5aVbAZNBZfDdqs6qgWcptgPBXConNqqB+PPupUx056j639H89bir9hSkIdZGsQsq47pU0BzOpg0aRKbNm3itttu27s3iUSyF+gRPWZp2xMsw2LVjNX7NebtcEQKN4lEsksCgQDXXHMNV111Fb169aJRo0aoiYnVddRACIulq1fx5Nff8urgM/HXiC5F2e7a1PXtSQII1hWXMH7+Ap4aeBqKZgsqY/1arFDATkhQVFtoeTy2eBPW9tg3hF24Vzd54vsfuaZXT+Ld1QkPNdmWNfXeatymaq02V6YBmoaIRMHrR/H5WbOtgDZNsmyRExNuynbrWzVut5tjjjmGWbNmIXQTYVkIITBKAoTXFhJatZXIphKsauvYUUcdxZNPPsmFF15IYWEhRkWI6LYK9KIqIptLscJ2JwgrFEXPKyO8tpCqn9ZiFFQiwlH6t+xKt6y2PDP7g+proNriaHF0ZhuuOW4IN3zzH0IegSPVh5rsQ/E4we9G9bvBpdmiTgGERf/mXTiqYWuKQxU8+OMEjn1iBD3vupBHX3+BpSuWoca5UTSVhIQEPv/8c9566y3eeuutA/jukvybyVm4cZ/qB+Ys3HgAVnP4IIWbRCKpFyEEkydPplmzZowfPx6wOwcIXUegIHQdo7CQQO4Wrnjrba7vdSxHZzWqjkuj2vJVXXetpkdo9R/pO//3LRd26ULHRo3scbpuuy8NA6Gq9jBL2K5MQ6+2pjnB47VdncCcnBxWbCvg8h7H2OesbjJfU2w3Jh5rqLG+uVxgmIhoBMUyEJrCmvx82jRshOL2xNphqUlJ1aVD6tLr6B7M+OJbQiu2ElqeT3DRRiIbS9ALKtFzy4isKyS4LA+zMowZjHLFRSPp0aUbFw48h/IfVxFctJHQslyCSzYSXr2N8Mp8Qn/kYwaiWIEIwrIwAlHMyggoCvf0GcHk5dP5Y+t6ewEK1dmyMKbXuaQlp/DEb5/gykzE2SgRZ0Y8jngPiseJ6nXZQs6pxrJz7zl5NJqqYgkLSwjWbdvM81Mm0G/4IJp2b8/VV1/Nd999R9OmTfnoo4+49tprmTt37gF5j0n+3eQtz98hpm13mLpJ3vL8A7SiwwMp3CQSyQ788ccfHHfccVx88cUUFRUhhEDTNDKDVYRn/Eh0ySKMokKskmJe/+Zb3KrGzf37VWd7ath+zerJakSc00XYMDjtrXf4Yc067jm+r73TMGIWOREO2zXhlGorWY3g0zQUTUWpsTih8NSMn7jq2O4kul3Voq3WF4AQtYSiYlvuXC7weFF8PkS1W1UAm7cVEjUMWjTJQk1NRXG7UdMzUBtk7nBf9G0V9GjdiXmLF2BWRTDKQkRy7QxNvagSs8oWXNHcMsq/XUFkbSGhX7fw9Nk3sDZnPS98OgFhCiIbSwitLSS8toDQGttdGlq5FaM8hKLZGbeqpiIENE9qyMjOp/DQrLcRCrb41FTUeDe+Npm8eu/TfDLza2bnL0d1OnA1TrbvlaagOjU0vwst0YcW50bxODmmZUeSfQl1ritq6BiGQWFRIa+//jqnnHIKY8aM4YQTTuCJJ55g8ODBbNq06QC80yT/ZqKh6D4dp+/jcf8UpHCTSCQxKioquOGGG+jcuTMLFiyoU5DVNE0yqioxNuVgbt6MmbMBo7KS/5s3nxv79cahqtWiqrp2mlrLTel0Mm/DBrq9NJ6fN28hweMh2eerdrfW6nKg24V8CQa3uzarOyUIXUdEQmAa/LxxI7/k5nFlj+724TWZZjUxdTVu2Rorm8OF4nTZazEtVI8HRVEQZWWs2rCBZg0bEt+jF+5je+Fs1RotNW0HF44wLfSt5Ryd2Yb1WzaSuyaH6KYSjPxyrEAUIrbbUwiBWRrEKA1iFFdhVISJU928dsVDPP3hq8z7bSFGWQgRjCLCOiJSLVoNE6OoCks3Ud1OVJ/TvjeawphjzmFtSS5fr5tv/9V2aWCCnl9BRonKfeeP4brn7iOg6ghNQY2zXaWOFD+u5mm4m6fiSPWjup1oTo0Le52Oy+Gs9z0ghCAtLY277roLgGuvvZazzjqLYcOGyYw+yX7F5d3Ror0nOPfxuH8KUrhJJBKEELzzzjs0a9aM1157DcMwdsgodGoaiaaJMC2saARRVsZ3y/8gahgM7NDeLqbrqHZ7xg5yUqFp3PDF15z5fxPIrbDbLR2VVe0iRWwXV4pquylrCu6KWrFqNVmmhi2Onp45m8u6H0NyfNz2DNIa16hpVh9rt7nC7UFxORGWZScmeDyoCQm2KzQ+gTVbt9KmSWMcDRuhOusXMwBWSCeaX0GC00f77NbM+2OJLdKCUdvNqZtYER2joAKjLIhZFSaaXwambX3s0uwI7jnnai595g4Ktm5DRE2ssI6IWnbrLQAUrEAELd2PluRD9ThRVYV4p5fbel3AuDnvEbaq4+KCEazyIFZQZ1ink2iRmsW9rz+Foqk4GyTgapSEMysJR7IPb6sG+I7OxtkwAUdGPOcPOAOzHhGmqnZ82+zZs8nOzkZYFoqi8Nxzz7Fp0yYZ7ybZrzTq0BDNqe3VMZpTo1GHhgdoRYcHUrhJJBJyc3MZOXIkpaWlhMPhesekJSQQs45FIqDA/81fyKhjjsapqtjN3Kv/pFSLgm/XrefoJ5/lw0WLMWoJhQZJSeD22KLK67N/airCMOx+ol7P9kK7The43HaMm6axJDePnzdu4ppex9a12NXUaasp3msadnycsFA8XlSXG8Xvr1O4V0QirM7Lo1VSEtFfl6JvWG8LvHqwQlFE1BazPdsfxdxli2LFcTHtZu9medhOOKjuJWqUhNDzy7CqIlihCKP7nEW3Ju0Y88ETmKYRs0gKo1q8uTQ7O1QouBom4WqZBm4HuB2c22UAyZ44/m/xNBQhqrs+WFjBCCIY5ZkhNzJ1/g98/9OPqD4nqs8FmoJZGSa0ehvRvDIcqXF4WmdwRMs2NM9svMM1+nw+fpo+g2a+dMLL8wktyye8ugC3ofLiiy9y6623UlRUtJfvLomkfpodk71HpXXqO+7fjBRuEomExo0bM3/+fNq0aYPH46l3TGZCPESiCMMAYbG2qJhZ6zdwyTFH2wOEhRDw+sLFbAoGGfHRJwx/6x2KqqqIVFvKwI6tb9CgAVrbI3BkZqLEx6N6vAjLdm8Kw4RgqNrtCrjddmakZYKi8PRPsxl1zNGkxcURi5Ez6gtwrrbUaSoiEsIKBxGVlYjyMszSErszQjTCwnXr6ZKVhVlSjLFuDdFlv9X/ZaLYMWMAZ/Q8kck/fUXAiqB4HAghsHT7GpVYrTrAsrBCOkIFsyqKUVDJU2deT255Af+Z+zEAaoIb1esEVUX1OXEkeLCiOkZFCM3nwtkiDUeyD4fTxf39R/HywqlsLSva3qtUVRFRg0bxadx7+mXc9M6TVFRUICIG0Q0l6HnlRDeXENlQhFkVxgrqqC4HI089F29N+7Fq7rvtbtr4GmKUBO3XA7DCOtGNJZze50T69OkjS4RI9htOt5Mjjm+L6tgzKaI6VNr2b4PTvXPL+L8BKdwkEgkA3bp1Y9myZdx77704nU40ra4Lo2lysm3JikYRQvDGzws4s1NHGqSl2eLK6WRjaSl3fPMtx/3nZb75YwV6PQVcXU4nKUlJKOGwbUkLhwEL1W0nDyAsW6hp2nYXaXUttmXFJcxYt45rj++/PRFCddguWk2rDtyv2VZiHRdEMGSf3NAR0SgiGEQEqiguLGJZbh592h0RsxZaBQWY9bR8Ul0aWpofRYXeHY+hdePmvPXNxzjS7SxO1VWdjep321YyBdvV6XVV9xG1hVa808P4IXfw6sLPmbXpNzCozv50oCgqqseJu1kargYJaG4Ximmhup0oPhfHNGnP8c268uS8D7Ynf9SE4lmCi/ueSeuG2dz9+lMYlSGEsC1yVmUEEYiiby4lvGYbQlic0+c0ItVubbfLxZ1XjeWxp58g9/e1RHNL0beWY1SEMasimBUhIjnFvPDCC3z00Uf11qWTSPaFTmd0JPOIzN2KN9WhknlEJp3O6Pg3rezQRQo3iUQSw+l0ctddd/HbwgXEeb1o1WJGVRSapaWBECiKQpWu897ixVzRtw9qQiJqXAKq38/SgkIaJyejm+ZOXSCappGSngaailFWhmXoWIEAVk0ihGLHu2Ea1W5Iw67tJiye+d93DD/maDKTk8DrQXG7wOOqJdbU7bFuNQkK1e5Su6m9G0VzVNeOU5m7cROtMtJp2KjRdksZAqt4R3egGu9Bi/fgbJSEM8nLzRddycufvwON4vG2y8TZOMkuxZHix5nkRYv3gKqiuByoHgeqy4HicYECHY/swMNnXsX1U54lv9QWiZrfhbNRAu7maTjiq61u5UFEULdjzRCoLo07+1/Cl2t+5tei9Qil2s2qgOp3oflcPH/pnXz28/f8uGgOVlW0OqvXdg9bYR2joBKzLERmSjrd23VBUzUmP/8mtw+5nGNbdeKu/zyKWR4msrGE4KIcQsu2oBdWEd1cSkbAxf333cfVV19NNPrvzuyT7B9UVaXvFb054vi2aE5th5i3mueOOL4tfa/ojVpfO7t/GY7dD5FIJP8mRCRCZjRKeVUV958/lCenfEZE18lKTEA4HSgozN28hQbJKRzbo4ddViwUQAiNpbm59G93BHedOZDb3/+IL3/7HdOyduiFnpKQAJaFEomguD1YmqO6l2l1f1K1urWV02n/blms2bqVr1esYNHtt6CoGoqmITQN1enEilZ3VKgRbKZV3b9TiVm6SEi065dVBUBVUFSFWWvX0qdNG9T4uLorFJYtlmp9SSiKgjs7lUhOEYpD44yzzmTcey/x3vdTGXPbjUQ2FCEiBigKhs+JGajOGrUEQjdRVBXVEliVYTSvk2HHn8WCzSu4duozfD7udZwOJ87GSWg+t10DriyEVRW1C/1GTayQnX3aNLkBl3U7g4d+fIuPz3/Izo6NWjHh2bR5c+4efAW3ffAs31/1In63FxwKducKEJaFWRFCS/Lx9JV3URGq5NjGHYluLmHc0Ovo+8AIvu/Ql74tjgLArIgAFTjS4rHCOlcPvoR33n2X5557jttvv/3Avhkl/wpUVaXLWZ3pcGp7chZuJG95PnooitProlGHhjQ7Jnu/uUeXLl3K0qVL6zxXVVUV+/nnBJwuXbrQpUuX/XLu/YUi9iUyUCKR/GMx8/P49acZ9Bt9KXlvvM7W0jIe/PAjxpx2Ch0aNUJxu3nlxxnMXLuWKZMmYWzaiKiqwigq4qwHHuSMLp25tFdPhGEwb8sWrnv7XbaUlhGudsv53G4+efZpjouPQ1RW2kV3LbsLAYYJkbAttNxuFJfbLpWhR7lpymeEDZNXLh1lB+c7nQjDQI1PQFRW2l0XQqHtJUmgun6c0y6kqznsvqoChNOFEg7S6/GnuX3IOQw5+STbegcoXh9ag0ycrVrXe3+EJTArQoioyUdfTOGeh+9n9erVUB5Bzyu372FFCKPEbiOlehwYpUG7oC52NmhNkkMwGubE56/m6nMu4ZorrkJ1aAjTIrqlFGGY6AVVWJVhzMqwXcPNsC2HVYEq+r82hrv7DOesI/viSPDhTPejpcWj+ZxEi6s4897L6ZDZggcHXmnHq0XNWOFeLcmLp02D7W5W08Ios2vIvf7ZJF6b+THfX/8Kfr8/VhNPi3Pjbp6K6nezILiBc4aey/r160lNTd3/b0KJ5ADxwAMP8OCDD+7x+Pvvv58HHnjgwC1oH5A2R4lEAtiWNisYwAoGWZ+bR/OGjVBUlYYpyYy/+kqObNYMxeVCS00lp6KCVu3aIwIBVI8HtUEmiqaxdOMmujTLjpXk6NWmNQvGPcyYU08B7Pi2qGGQmp6BCIUQpoHQo4hIBPTqzgfVxyoxl6dFaTDIh78s5dozB9plO1JSUL1eVK8X3C7UOD+q22PHyNUU3lUU2+WqqmAJRDCIFQpVu2QFxZbCH3l59O7QPtaQXnF7UJOTUZNTdnqfFFXBkeTDmRHPBSOG4XA4+OCDD3CmxeHOTrFdlkk+tHi3XTvNb3cvUDTFFqfVnQ+sqIlXdfL06Nt55J0Xyd+2FQArEAEBiqbhTPUjFAHVXatUl4bqdeB3uLm994U8Oed9IoaOME3MqIkViqL6PXhapPPUeWN5b9E3TPz5i2oLZHXBEZeG4nWieB1oPjdKtTvXkeRFURVG9DmDVF8iz/3vHaxABKMijFVdo84MGxglQXo2bE+vnj159NFHD9j7USKR1I8UbhLJvxwRjWJszMHYsA5z00bM/DzW5eTQolFD1JpenQJbWEUiWFUBNmzeTLPkRKzCAsxtWzELCthYsI3KcJgO2c3sxACXCyUxCXeDTE45tgeZqSmc178fAJlpaYhIBBEKI/Tq+myRsO3urGmR5XTFSne8vWgJRzdvTpcuR6GmJKMkJIDHjer1oigqis+H2qwFqs8PCYkoCYkocfF20oTDgcAun4FuoAgLqqqYveIP2jdtQoOWLdFSUtDSM+xHahpaaqothkqKMfJyMbdtswsD/wlN07j99tt55JFHiEQiaIlePC3T8R3ZiPg+rXA3S0VxOmyx1yAeVVURETs7VnU7UOM8HH/McQzseyI3P32/3SC+OptTCIFRFbEtZYaFpZsIheoeqYLB7fuS7I3njUVfYEUNjOIAZlUEqzKE5nfTtn17miZncs9X47n1s/9QHqxEcahofheurCQ8TVNwZiXiapyEq2kKqseJsASqpfD4wGt5c+EXLNuw2i4QbJhYenWZFQWEbvHQ7ffx8ssvy44KksOKBx54ACHEHj8ONWsbSOEmkRyWlJeX75d5hGXZrs5QMPac4vWyfuNGmjdqhOL1osbH25mkkRBCs5uW/7JiJVlx8Shen/0HrriQpctX0K5xFj6/124t5XKieb0oXg9RfxxxPh+v3XE7W7/7H+leL8IybaEWjdStv1ZTZy0cRlFVDK+P1+b+zDUnnWiLsEAQ1eVCS0pGTUvH2aIFamIiqtuFI6sRjgYZaA0aoDVsiBqfYAtAFLt7gtttb2sqX//6GwM6d8Z5ZCecbdvhaNYCR8tWaA0yEZEIxvp1WAXbEBXlWKXFGDnrMUuKd7iHI0eOJD4+noceeqjO84pDw5WVhL9bNp6W6ThT4lB8LtQEL2q8BzXBg+pUMSsj3H/65cxeOI9pP36No1EiilND31aOnldW3adVQ9VUrKooVkS3rW9C5Z6+I3h5wRSKAuWIiIG+tcLOw1BVfO0yuaTnGQB89NuP9Hz5cj74YzqmQ8EsDRJaVYBeUIFZHgIh0JJ8WFEDK6TTrkE2lx49kDv/Nx5TN+z2XsUBjOIgoKA4VDo2bc0555zDddddt1/eixKJZM+Qwk0iOcwQQtC7d2/OOeccVqxY8dfmqqiwsy5rofh8bNhWQIuGDVFT08DhRPH70Ro2wtmqNT8sW87WkhIW/farHWPm9iB0nYpQkFSfDysQtEWYYWGWloCqEXZoeL0+1ORk4hs2wgoG7Pi12tmfNeG2im2tA4EIh/hswUJcmsrJHdojKirrNI5XExNRvF47UaGiHDye7QkForpJfXVhXqW6f6ridhO0BJ8v+YXzTxgAlZV2J4XERB5/+mk+/PBDzPw82237J6yCbbZbtxYOh4MJEybw3HPPsXjx4h2OUVQFV9MUrHAUxaGiqIrdS9S07Hg7wyLFm8hDI8Zy08N3U1lRgdYgHlEVtTNRHZr90GxrGYbdTkzRFHo270ivpkdy42fP2e5Qw0Bx2tevaAotW7bA5XAiEFRFQtzz2X854ckrWLjmNzthwukgmldOeNU2zEAYKxjFCkexwgZjjhtKQaCUT/+YiTAszGAEozyIGbITJgCuvvpqPv/8c0466SSCweAO1y6RSPY/UrhJJIcZiqLw3Xff0ahRI7p27cro0aP32V1Vn/tPURTW5efTsmkTRCgEehQtLQ0tuxkVoRAjHn0cgEWrViMCARSXCzUuznbxqSqq34/q86N43IiojhkJEywswqtpmMXFRJYuQV+3FhGN2vXXYulR1TFpAA4HiteHZVq8PH0GVx3fH6ffj+JyYlWUIxQVNTUNNS4ORVFsganaDeWVxEQUl9t2xbqc9vOiJrNVIKI6Xyz9jaapqXRq0AAhtndKWLNmDSuWLUOEQzu9Z1bFjtbOjh07cueddzJq1Kh6y2RocW7cTVNwNkxAi3OhxblBtfufCt0AIRg+8FxaNW3OA08/ilURst2m1ahuB6rfbhKPJWyN69RAgSHt+zNr42+c8c7tFAUrsapsYSlMQVajrDr9RSOGzpptmzj76eu57Nk7yF27ETSVaH4FoV9zMYoDtjBWFbyaizv7DOeJ2ZOoigZtd215CH1jMcFVW1EcKq1b2wkc33//Pe3atatXuEokkv2LFG4SyWFIZmYmL730EsuWLSMSidC2bVtuuummPWpHVNPqSZimLZzq2b85P5/GKckocfEoHg/C0BGFBdzwxJNUhWxR89PSXykvLbFjx0wLxe1CaA7bHSksRFS3OyEUFlJVVIQHgZWfh1VYiCgtgWDAPqFanUigqbF6YwgQCvySm8vqbdsY1r+v3cdU1VCTku32VW4PVkUlRn4+ZkEhSlyCbRlMSkJr3AQlLQ3VF4eqVM8ZiSDCYYSh8/7PP3Nh395oHo9tHawmLi6OqsrKXd9As/6WWHfccQeapjFu3Lh692tJPhyJPtwt0hG6gVkRwQrpWEEdoRtoyT5euPdxJnw6iRWrVqK6HdVJBE60BA+qzxVLJMCpolRbHjtltQLgt23r6PfK1Uz95ksim4pRNIWshDQMq24RZIHAsEy+XDSDo644nf9+8Y4tXh2q3XLLEoAChsXA1j1pkdKIF+d/aruvDQtLN7DKghilQZzWduvn5s2b6VmdsPDnPrcSiWT/IYWbRHIY07JlS9577z3mzZvHqlWraNGiBa+99lq9Y4VpYubnYaxdg7FhHcbaNbaQ+VNBIFFRQWpCAiWhCKrLieK0y2RM+2kmn3z/A0b1l7JT0/jihx8wKyqwystRDNMWeJEwVjgMCISiYIVCBAsK8Gia/bxZXafNEnb5j9oFc6l2kzpdKFGdD5f+ytndjyEpNa3aRSoQgQAiEsIsLsKqKKt2aVpo8XGommrHsjkcEKhCcWjgdm1vaG+Z5BWXMGv1Gi4YMADF77N7pVYTFxdHVThsr28nKF5vvc87nU4mTJjAU089tUOdKCDWNN4sC9oxbvEeVL8bNd6NIy0es6iK1tnNufis8xn3zouYVRFESEcEIpildtN6ADXBgyPFV+1iFvic29tWVUaCXDXxYUY+NJaCtVvwhRVcWv31r3TTwDRNXvrsbcLVYlwBME277ZhloViC+/uNZOKv35BTYWe9YggEgkhOMebaku3vGyHQdZ2HH36Y4447TiYtSCQHCCncJJJ/AF26dOHLL7/kk08+4e677663sr2Zl4tVXmZ3EQDbKlZVCaaJVVqKuW0bZlERZnk5zRs1ZGN1AoQSH09hQQGXP/l0nRZWoWiUt7//Aau4GDTNzng0DKzKakuaYseTEY0QiobxOJ12kV1VsQWVptriw+HY3pze4azeFkSF4NOlv3FB376xcypuN4rDgYhE67h5FY8XJSERNSnZFlYeN4rLYy/CMG0hp9mPj3/7nd5tWpGpqbalKzExNk9cXByBQAA1Obn+G+10ocTH7/J1uPXWWxk5ciThP7mhFVXB2SjRtnLqJgoCxanhSPbbGZ2mwApEuemMEfy4aA6/bFqFURayEwMqI5jlISzdREvyorqc1eVOwKe46pxHNw2++WUWR196Ot/Nn0maL5H6cKgaQ7qfyMzb3sAZVey2WJZAqGp1zKE9rn1qNkPa9+ORGRO3t+5SHaBbaKWRHeYNh8MsWbKEdu3a8f777+/0Xkkkkn1DCjeJ5B/ESSedxKJFi/j555854YQTyF+zGn3VSsKLFqKvWY0Vqhu7ZYXDmFu32kH9Xq8tqIRF88ZN2JCXB9hi6drnXiBUT+zWnBUrKQO0xk1QnU7bxRmsQkSjKC43itMJqoZlCbRqq5ridIKi2qKuxlXr80NcPIrXHesvOn3NGtxOB73bHWGvw+lAcTpRvB7UjAy0pCTUhES0jAZoaWkx16GiKqgeL4rTidCj1QV+hS1UdZ0PFi3m/K5HIQwdVAVz21asgC02Y8ItLR01Nb2W5U1BiYvH0TS7TjeF+rj77rtxu91cc801O7T9MksDWIEoituJlhaHooAVjMYauhslVaSEXYw+fgiPf/0mKAIrrCPCOpgCEChCoHldOJJ9qH437lqtyWqIGjqlwUou+3AcYaPu66ag4HW6ee/iB3n+ojtI9MaBbmKFo4hgBAwLBaVapFlgmtzcYygLNq9gxppFdk030wCniqpp9bYg0nWdYDDIyJEjueiii3ba/kwikew9UrhJJP8wsrOzmT17Ng0TE+h+XG8WfPkFxopl6GvXEF26BH3LZrvRugCrtBSwEKZpW7P8cWhJyTRLT2XDRtvV9eEnn/Lt0l+J1hO35HY6+Xzuz2AaqNVWN8XlBoTtFg2GQFVxCDBqmsVrDhSPB8Vll+dQU1JQ09Lskh4ZmWgNGqDG+/nPjz8xuGtXVN2wBVt8gn1SVUPLaIAaH4+akGB3RfgTwjDs4r6hoJ1oUC3g5q3fwJbycgYdeSREo3b7K2FhVhe/jYuLo7KyEkVR0NLTcbRqjaN5S/tn4ya26NwNLpeLKVOm8PXXX/PSSy/FnreiBnphVSx7VnU60FL8KE4VEdFRPBpWwO4tem3/85i79ldu/Ox5FK8Lxe9CSfKCBWa53dpL9bnQfE5UrxOPw13vWnTLpDS0PWbPoWqc1a63LaScDsBCdTtitdmERXXHr1oZvppKSnwyLw4aS6uUxnasW8AWg6rfhUPbdefELVu22K+9RCLZL0jhJpH8A/FEI0y44XquOO0UTrnrHibPmw+A0A2s/HzMokKscAhMAxEKYRUWYlYX07VCQZo3yGT95k1sLSzk6sefILqTL95gNMrb33yDWVGB6nRiCgGaA1HdS0mYBorfj9PltIPkBYCdtagmJNiZofEJqJrDtpJpKorTxXM/zWHO2rWkN2qEkpRoj3O5UePicbRqjZaesfOLd7qwDAOzsNBOwojaog3L4umZs7jyuJ4kJCSCy40IBTHLyyFqJy40b96cVatWxaZSVDXmnt0bGjVqxKeffsodd9zBjz/+CIBZEkRxaKje7eJP0VS0ODvxQPW6UKpdoIlOLx6ni09/n8FlH46jPFxlt7sSIKI6wjJR3E4UjwvF48Drql+4OVUtVj2lcUI6Hw19kBcG3sADp1zGmA+foMgK2v1QVaU6K9fOdLURsWLAmBb9Gh9JI2+yHStZFcWoDKMlenHWc2/cLjdtW7bms4+n8NNPP+HcA8G7LyxfvpwffvjhgMwtkRyqSOEmkfwDEIaBsGxXoFleRuTneZibNnJDj+5MvOoKxk58m/989z2A3fYpGkUEA7ZoCwXrZpdaFs0aZrIhN48ZixYTDIXQVBWf24XX5UL507kXrF3H1j+W46ysJGwYKE4N1WE3jReWhaLrOBISMRUNJc6H6vejZWSipqbjaNESNTEJvN5qCxC88NXXPPTRRwCkp6fb5UWSk9EyM9EaZeHIaozq86EkbI/dEpbACgSxqqpQ4hOwNubYZTYsu88mlsWCnI0s3LyFq3v3Bk2ptv5V13/DDq7v1q0bubm55Obm/uXXpGfPnrz44oucd955bNiwwV4P4EiLQ/XUFTuKQ0WN96Boqr3PguzkTAB+WL2Q4/97NQtyV6C6VMDO7gRwJPlwNUvD6/bscH5FUTi5Q0/evuh+7jz+Yn687EW6NmyDsCwuOupkerc5imvfeBjLCapDRfW57Gb0mgqK2J7hWx1Lh6aBptgJIEJglgSwIjpOx3ZRpqkqfq+P1x5+jkUf/0DfZp1tK+IB4o477uCkk07i7bffPmDnkEgONfbu30iJRHJIYVVWYhUVYpYUY1VWIiIR22pWXg66XWbixMZZfH79dQx+6WUiUZ1bB55mZ3NaAhGJosbFx+LDamjfvBn5RUWccO5QSvv3Z/3Mn9iQn8+G3FzWbtnCB/MXoqkKleEIUdNk3po1eBwOwuEIuNyofidW0C7Eq8Qn4EpKxHA4UJNSUOPjcXbugpacAtEoRs4GzNJSzLISxr07iWc+mowlBIqikBsMoian4MhogJKYtL0FF6A1bITw+THy87AKC6prv3nRVyxHX7+uOmNVBbcHDJOnZs3hsmO6keJ02IWDvV4UFNs6V1qKUFQ8qkqHtm35ec4chpx3Xt17bVkoirLDvdoVo0ePZunSpZx99tnMmPoNbmwrmzMzERHRsXTTFms+F1qiFyO3DDXejVLuxOu0xZgpLIoC5Zz/+u1ce9owbh4wHLffjRrnQXHagjvOHwfVTR3cLjfZGVlszN/M5X2G0L15e/q37YYV0hGmheJ2oPldPHXxbZz86GU8/+0kxva7AKJ2QV4sA2HWcpVW12ZRVAXQwKFVFxLW0LeU4XQ6cTgcxHn9DD9rKO99Ppkhp5xh3ycBel45WptdWEj3kXA4zHfffYcQgssuu4xgMMhVV121388jkRxqSIubRLIfmTJlCiNHjvxbzmVVVmLmbsbI22K3Y9qaj75qJVZRoV2rTY/aAfmmSafUZL649WZenfETj3z5NUpcHGpKKlrjxnVixISuY1VUkKiodGrdmulTp+L1eDiiew9O7tiRy/r24fGzz2TAEW25/oQBFL49gbWPPsygI47Ao6iEo1G7zpmqQiSCYhooLvuL3RQWqt8WXmpCou2G9HjQMhuixPm5840JPDN5cswtK4Rg3abNqMkpaA0b1RFtYFuUFL8fRVXtuLikJER5GWZRod1Cy7K7N4BgSV4e8zZu5Nqe3W0xYphYlVW2u7iy0o6hExaYBt2P7MDc775D/Mk9/Pjjj3PRRRftkC26O5647xGSffGMvuIyIltKMMuCCCHsBIU4D6rXhSPFjyPFj5ZsX4+rURJOd93YPcM0Gf+/Dzj9+WvZHCmNdUhAgYSkBFRVpWHDhrz73rv8Nn8xD42+iUvffpCNxXb8nup340iNw9UoCUdaPPHx8YwfcS8vz/iIWSuXYAaj1Za8arepQ7WL/FqAadndElTAYfdZVVwawhIMOn0gd99wK6u/XcgD191OaUU524oLt79PwzpWdP/HuP3www+xxAhd17n++ut57rnn9vt5JJJDDWlxk0j2A+Xl5Vx99dV8/PHH6LrOyy+/jO9PQmN/YgUD6CuWYxYVYhYU2C2fACJhuwaXwvY2UopdXqNDagpf33cPgx59HCM1ladefAlry2YspwursgJRVYkVCKJ63OD10adLZ6b/7xvObtrYDu43DWqi11Pj/BRVVkI0SkZaGiIawePzEDZ0rKoKRHmZ3X7J5UIJh3GEw7EAdcXphHAIauKeEhIY85+XeGfaF0T1ul/wazdtQm3QAKuqyu7i4NBQ4xPskiBCYJaVxcqbWOXlmGXliMpKu7iwYSc1YFk8Pf0nRnXrRlpikt14XlFsoWaYKHHxdueHanp07sw7Uz/DKi2pE0t32WWXcfbZZzNgwACmTp1KRsburUhGcQCRV8nbj79Cn4tO5/lpExl7xkisiIGzQYLdNjXRi7Nhot0aq1EiikPFrAjh9e9YLy6iR1mZu55e15/DS7c9yrCRF+NMi2PUNVdwTnk5N9xwA263He9283MPsqFqGyPeeYBpN/6HlIxkO3kEBYHAChu0T27K/addzvVTnuHL4U+S4UmsLvdhd6HAoYCJ3WbLEoioiTAslBQPjmQvqt/FK+OeRUTsHqcATRpmsXrDWtJd8VhVEdtd7nXgykpG8+2YSFJRUcHGjRvrPPLz80lISCAjI4MGDRrs8DM+Pp6PPvqISK32Y7quc8cddxAMBrn77rt3+9pIJIcr0uImkfxFfvrpJ9q2bcunn36Krus4nU7WrVt3wM5nFhcTWbSQ6Lo16Js3I6qqsAIBO4PSNG1LkxC2QNGqY9eqC6q279SJH959h4+//Y4bbr8dEReH6vehNWiA4vGipaZUW7EU+h7ZgZlLlyLKy7ACATtLVIDicpKemEhRZZUtklQFnE48Hi+hqI4IhsHQUTQNRVHs5ADA0g07GzIx0V4Pdqbp8OHDeffdd4nUU25kc0EBoqAAc8smrOJCrG1b0Vf+QXTlCoxVKzHXrsYsKrJj+4qKsKoqsYzqchWmgQiH+W3DBmasXcd1/fuCpqImJaKlpaOmpdslSf5UUPeYTp1YtGwZellZneczMjL48ccfyc7OpkePHixfvnyXr5OwBPq2CgDSklP44Lk3ePbt8Xy/bhFaggdHqg9P2wa4m6ZUuyHB1TQFV3YKWrwHl3fHuDX7pTQJRyJc9vDNzPx1PlqClyuvvJLbbrstJtoANL+bl975P1p3bseVkx9Ha5mKu2kKwrQwCquwyoKIqMmFHU/kuOxO3PD1fzC06tg2gW05ram356juaoECUQujuJLwym3o2yrRSwLoRVXohRUIIWiV3YLVy1ZglASxoiYoKiJkEFlXiFkZRliCSCTCa6+9RuvWrUlMTKRXr17ccccdfPXVV1RVVdGmTRvi4uLIycnh888/59FHH+WCCy7gyCOPJDExkeTkZCZNmlSnnRdANBrloYce4q677pIlSCT/WKTFTSLZR8LhMHfeeSf//e9/0fXtjdpdLhdr1qyhY8eOdcYLISgvL2fLli1s2bKFbdu2UVlZGXtUVVVt/728HAWI93qJ8/uJj48nLiWFOI8Hd94WEhwOWick0C4tBbeiopiGXci21heZggL+eDsQ3zDRmjXHdVRX2iUkMnP2bAYMGEBaair3jByBKC+lVtNQFJeH447swLr8reQVFZPp9UCNEDMsUv1+FlZV2V/uumFb3EyLiGGAplTXhHPaVjU9ytbSMjKSk+wCuS5XrPvA+eefz5dfflnHclKbosJCImvX4IiPR0lIANPCLNgGQqBlZiJUDauoECM/H6tgK5ZpC1S7FpyBCdzy+Rdc0aM7DdLTUXw+VLcHJS7ObtFVWblDskW7li1IjIvj+9mzGdS6TZ19Ho+HSZMm8cADD3Dcccfx0UcfcfLJJ9e7disUjSURAHQ+ogMvP/A0l951PTPenUaHJimorj/9CVZABKKoXheeuPotth63G5/XxwNjbue4jsfUO6YGTdN4/4MP6H1sL8Y+cQ/PXnqX7WJVwIpWd0gwLB4/4xrOmnA7j855jwf6jUQYpm0pMyxwOe06ckJUx9TZhYK1JJ8tArdVosa5ERETqyxE66xmrMlZH7seR7IPYQnMsiDhLSW8OWMKz00cT1JSEvfddx+DBg0iKSlpj2IHhRBUVFTw8ccf7zSeLRqN8tRTTxEMBnnuuef2KiZRIjkckMJNItkHfv31V4YMGUJubm4d0Qa2y2bSpEn88ssvMZG2ZcsWNm/eTCAQIC4ujiZNmtCgQQMSEhKIi4sjLi6OeK+H7IaZ+NPTiFNVzGCQykiYQCRKIFBFYVEh68rKqKqooKyqij82b6EqHKZNRgadGjeiS9OmHJmeRsf0dBKqY8nsDgWaXZKjTVu0tHQAmjVrxqeffkqvXr046+yz6diwISJk1wdTfD5EKEhSXBydWrZg9oYchnY4wq6qH42AsEiLj6c4GEREQqCC4nTh8XkI6bodvxXVEU4XimGAppFbVkbTrEa2Fa66/6llWUQiEQzDwOv1Egrt2NjdtCy2FhfTSAElEkVUFwgGMKuqIBLBCgYRgSBWVLdj22oEqKYxfvZcSkIhbj++L0JRUFwuhMOB6tDsEh8+n211q4Wqqoweei6vvP8Bg0aN3mFNiqLw4IMP0rp1awYPHswzzzxTr4ioTzAMOeUMflu1nPNvGM3sb34ko1HdrgZmud0pAcDlrOtWVBQFp8PJvdfcypUXjMDr8aLtokyJFTUwK8J4UPjs4yn07N2LF1OyuG7QcLR4DwiB6lQxKiP4VR9vXnAPA1+/ifbpzTiv4wA7gxRAUxEqiKhpx7UZll22xaEiqiLouaVoqbarWZSH8DhdVAYrUL1OtEQvituBsbWCosIiLn/mDraUbOOZ2x/i9F4D8DROwZWctNNrqO+eJiYmsnz58l0KMsMweOGFF5gyZQpvvvkmffv2PWAlSSSSvxsp3CSSvaAmlu3DDz/cwU1TQzQaZc6cOSQmJpKdnU3v3r1p3LgxjRs3pkmTJiQkJMTGCiGwCgvsVlPFRZg5ObbVxeFEQdgtojQHituFojkwtuZjGSaq24UwTTZt3sRvefn8uiWP6StX8Z8fppNXXs5v99xBdsNEuwaZz4fWpAnqn1o11bRnGjVqFAt+/hk1tdJ2swIiYn8p9uvcmdlrVnPesd3t7gJOuyVVRkYGRcGQ3VfUYRfHjRYV43O57EB/pxPF7bGbzOs6m/O3cly3riipaWgNGwG2QPriiy8oKCjgg0mTeO3ll1m+Zg0OTYv1Q/U4nWzeto2GXg9mpNQWZiqAAiUlsQQHq7LSdg8Ly7a46TrrSkp47MfpTL54GN64eDBMRFWVnW3r8aK43WiZjertPXr58OG0PX4AGzZsoHnz5vW+zsOHD6dZs2acffbZbNiwgccee6xOFwHF67SFTrRu4eL7rr2V31f/wcgbr2Lal1+gadtLsZgV2xMfPNWC0l0t4Ab2GMD0337m4rPPx+vxIkR1z9BNdr9QLdGLluBBURSi+eUYhVWxudJCGh88+gqDxo4gJTmJC7udgupxYpSHUEI6iqqQ3SCLV869jdEfPELrzKYcldEKoSioqopQBIoLO6MUBTQFqzKMcGrg1FD9OorHFkZrcnM4vmcfO4YPuzPEryuWMfyxsXRu2Y4fXvqIOJzoG0uIrinE1TQFT6t0nJkJu+1KAfZn5sMPP6zzD5PP50MIQSgUwu/307x5c5xOJy6Xi4svvphQKMTAgQM5++yzOe200/D7/bs9j0RyqCKFm0TyJyzLIicnh2XLlrFixQrWrFkTe+Tn5+/RHFlZWbzxxhu7P1dxEUbuFjs+q2CbHauGBZGoLShME5xOVE1FRMJ2m6aojnBoKJpGdlYWTdPSGNSpE0qcHzUllcKKCtIyMnD4/OB0oMUnoHg8qElJO5z/7rvvZsqUKTz+5JPcfe21WIXbAOzG6+UVXHXWGRiaE5wOlEDAtt6pCmlJSRRXVqIlJtkiLSWF0vXrSPb77dZXTidYpu0y9bjZUl5O01atcTZpusMa0jxuruzZgwHJiRx16eVcc9opfDRnHsWVlUQNg42rV9MtLQ1UFauiAjTVjgnz+uwYvlDQjplTFFvYRXWihs7oDz5mWJfO9Gzc2L4mlwNFCIRlgR5Fa9QYR/PmKA4nVkkJVlWlHYMXn0B267acccYZjB8/nieeeGKnr1/v3r2ZO3cup512Gps2beKtt96KxZkpip1sENlYUtsLjaZpvDP+TXoPPplx48Zx33331Tu33+fHoWmMGnwRN585gpS4ZC557lZufvweJjz2ImZZOHYeALMshBbvRk3w1hFtNRyZlM37dz7PRY+PpayklCuPG4wI6yimhTBAcULv1kdx+wmXcMWHj/HldS/SwJ1olysRAitioSogNMW2vpoWWAIrGMGscKAEozhS/azasJarLxwVO++S35Zy5j2XMebsEYw9cySKpWGWBbB0+x8fo6CSYGUYd6t0PK0yULRdi7eKigq2bdtGUlISrVu3pmvXrnTq1Il27drRvn17MjIy6ljjLMti4cKFTJ06lXvuuYfLLruMyy+/nOuuu46mTXd8P0okhzqKkBGckn8xRUVF/Pbbbyxbtozff/+d33//neXLlxMOhzniiCNo3749rVu3pnXr1rRq1YrWrVsTDof5+OOPmThxIsuWLcPtdu/g5ktOTqakpGSX5xaWhb5mNcbmTVhFRVglxXYrKkO3LW1C2E3NNRUlKcn+8o9EEUYUVG27i686IcHRohXOtkcggiEUR90vPzUtPeYm/TOLFy+mW7duXHTRRfzf88/hrLJ7jVqBgJ2ZGR+PWVKCuX4tViSC6vWwNRSm9eVXUTrpHTTsDgNfLVzMwx9+xNxHH662FGp2aytNo8WV1zDl1fH0Glq3NpqIRNDXr8PMy+Xu115jY/5WJl5zFcKyWLBmHZ/Omsnw7sfQoVkz+35EowjTiAnamvZaIhS2y3dUVTJnQw7nfziZQFRn8203Eef1gtttZ4/6fKhNmuJolIWzZSvUeqxtNfz444+cd955bNmyBY+n/kSBGgoKChg0aBA+n48pU6aQXKtJvRWKYhRVYYV0FIeGluLDkeTjl19+4bjjjmPhwoV06NABAKMsSGjlVqyyEEUlxRhYNMpuYu8rDVCkV3LsyEG8+MCTnHX8abGkhtpYuonq1Oo8Z1SECa/aiqqp/F6ykaEPXM0lfc7k1lNH2AnIgep4PCEQmsotnz7P6sJNfHzlUzijIEK2pVOrLhJsloVAAcWlofrcOFJsC5buU2h6cR9Wfr+QrNQGLF2xjIGXn89N517KtWdfYls9o1bMHQx2DJzi1HAk+/C0zsCZmcDuiEajuOppdbY7hBDMmTOH5557ji+++ILBgwczduxYevTosddzSSQHCyncJP8aKioqWLx4MQsXLow9Nm7cSHZ2Nh07dow9jjzySNq2bbtHXwybN2+Oibjff/+9joirqqqq45KprKzkzjvvpGPHjlx55ZWIaJTw/HkYa9cggkG7PZNhVJfeqHavOV2AAFW1rWBC2IVmHRqKw2kXVFUV1MQEPKcOQouPt11ogQAiGABVtWum7eZaXC4Xuq7TsGFDXnnlFc4880wURbGzSctKscrKscpLbQuXaVJQUkL2GWdR+OoruBCo/jjemzOHSdN/YtpNN9ju2aREFK+PSFw8yT16snnObLK6Ho1VXoYwDBS3BxGJYJWXEszZQOuLLubtu++kb7NsRDCAFYnY3QaqRaCIROykA2HfD8C+T9Uu0k3FJdzx2TS+XbsW0xKk+XysufkGe6zDiZqUhBofj6N9B7T4eLTGTeuUAfkzQgg6dOjAHXfcwSWXXLLb90IgEODCCy9k7dq1fP3112RnZ+/2mNtvv52ZM2cye/ZsNE0jnFNMYO56zGB1L1C3hkBB0cDTMgPV62Ly159x82P3sPDj72mQ0WCHOfVtFTE3ZQ3R3DLM8hBWIIIjPZ4/fl/O0Kdv4LSj+vLEmLvwNksj8HsuhHQsyyQcjnDuizfRIrUxz559IyIURXE7Ub0OFE3DihiIqI7icNixbAleVJ+DL36dzUPv/Yc169aydO4iTh48kBtHXGXH1fnd6IVVGFvLMYPbkx2cDRNRXQ5UvwtXVhLeIzJ3e9/2B+vXr+fFF1/kjTfe4Mgjj2Ts2LEMHjwYx162N5NI/m5kORDJPxIhBGvWrOHVV19lxIgRtG/fnqSkJC655BLmz5/P0UcfzRtvvEFpaSk5OTlMmzaNRx99lAsvvJCOHTvu8X/zTZo0YezYsSxdupScnBzGjRtH586dAepY3L777jtat27NK6+8wieffIJVXk5kxXK7YG5xCVY4bJcvMHQ7U1NRbEFiGtWZoqodf+Zw2HFGHi9qQgJaUiJaZiaO9kfGRIiiKKhxcWgZDdDS0ncr2oBYBmx+fj7nnXceffr0YdmyZah+P46sxjjbtUNLz0BLTERLSUGrNvRYDoedPaqpTPn5ZzYUFqL4fWiJiTiym+NolMW28nK8Hg9pyckYOeuxSksQlRVYRQUYOXYrqM/m/kxyfBx927bB0nWssnJERaVdxNfltMtSqCqYBorXi+r22PfINAgGqnjkm2/p9uwLfL92HWZ1f82jGjaMtbVCU1F8PpTERAhHQFF3SEr4M4qiMGbMGJ599tk9Ki3h9/uZMmUK/fv359hjj+WXX37Z7TH3338/hYWFvPzyyxjlIULL8lD8LlS/CxQwKyMYJVWg2u2mAM499Ux6H9mNGx+6s951/dnaKiyB0E1UnwtHehyKy0GbzKZMu3s801cs4Nr/3o9hGDgSPDgaJuBM9ONLSeT14fcxY9VC3p4/DRwqqtuBluDF3SoNd3YKroaJOFN8aIleHGl+tDgv7//4GcMHn4eiKMT5/Nxz7c3cNOIqVKeGWRHGLA1iBiP2e9yyhZtZFrKtkapqu17DOlZIxzJMzPIQRnmoVv9UO+kiurmE0LI8gr/nEtlYjBXW/3wbdkuLFi147rnn2Lx5M+eeey633nor7du3Z+rUqbKUiOSQRlrcJP8YcnNz+fHHH/nhhx/48ccf2bZtGz179qRPnz50796dY445hszMv+e/+XA4jMfjoaysjOuvv54PPvggFkzdqmVLlk/7DP333zByc23LGNWthWJFc2tcYEpMqKFpqElJtuvUF4cjMxM8Hrv7QHoDtLS0fV7vsGHDmDRpUux3rbr0x6hRo3jsscdITU3FCoUwc7cgwkGK166l0eBzyZv4JokZGZSXltFk+CVYlsW2yR8Sl5SElpUVizXSDROHouwQv2SVlWGFw5x80y2c3ulIrjv1FDANzOIShKGjoKD4faBoCD2CqAqAy4ni8yOiUT5ZuIjbP5lCIBolXKvTgQJc2aM7j51+ii3cXC60Jk3RUlNRnC5cbY+IJUnsimAwSLNmzZg4cSKnnXbaHt1LIQSPPvoo//nPf1i4cOFu46h++OEHTj75ZJ676xEuPmYglmViFlVhVUXtume6iep3426WiqtxElq8l/zVORx72Rk8eftDnD9wcN0JnSro24WOEILoplIQAkdGHKrXRXRzKViCrUUFnPvg1WRnNubVKx7ALRxYhokI61iVEX5e9xsXT3qAdy94gGOatkOL8+BsmIDqtf8ZMCvDOBK9KC4HW0sK6Xz5qSybvoAsfxp6XlmsdZYW70aoCuE/8u0ODIqC6tK21xlEoKXFIQIRNL/b7tiggCPZj+Z3o6gKjox4tCQvkbWFdcqsACiagrtlOqpn3zNHDcPgjTfe4N5776VDhw4888wzdO3adZ/nkxyarFmzhq+//pqZM2fy22+/kZubi2EYpKSk0KVLF8466ywuvvjiQzqBRQo3yWFLXl4es2bNYubMmfzwww+sWbOGo48+mhNOOIEBAwZw3HHHHdDuBbvjiy++YOTIkVRVVdWpU+b3+Sj4dDLGxo0IXUdUVlS7/MCI6pRFw5TqOpaq4XC7cTocOFQVp9uNMyMdt9ePNyEeX7PmKKot5tQGmX+pXtWDDz7IuHHjdiht4na7cTgcjBs3jmuuuQaHpmEWFlC+ciVp/Y8n99PJJMfHc8t/X+GVqZ+hKAr/veN2Rg0ZgpaRYbvD/HEIQ0eU7hjzJ3SdZQsW0OuaMax+4zVSnU6EaWIWFtqWNn8ciq5jAQSqEIEgKPBHUTFjPvyYP7ZutWvH/Qmv08m9J5/I1X2OA0VFTUnBkd3MditnNMDVoeMeZTACPPbYY7E/9HuKEIIrr7ySRYsWMXv27N2+D51OJ4ZhcEbPE3l44BVkuBPt3qIRA2HZRXFdWUl2u6oUH4rbwaeffsqNLz/EvI++pUnDLHsiBTytMjADEaKbS7Aq7IK3Vli3W14l2eswiqswKkKYJQEq0bnoqbGoKLx12cP4dQdWqV3mRegmb/3yNS/N/5SvRj9LZmIK7pZ2rKQjJQ4t2Wu/7yzBM++/xsxffuaLV9/HKAnUyZAFW1xZumlno0ZNYt88loVZFUaYAke8BwFYwQiq34MzMx5XZmJMKCpuByJSf/ssLcmLu2kKVVVVmKZJYmJiveN2R0VFBY899hgvvPAC559/Po888ghZWVn7NJfk0GLkyJFMnDhxt+OaNWvGBx98cMjGPkrhJjksEEKwevVqZs2aFXts3LiRzp0706dPHwYMGEC/fv1Iqidz8u+muLiYq6++mqlTp+4ghGq4+tSTKS4uoTQYpKSykpJAgJJAkPLqPpgepxNNVTFME900ser5mCYlJpKVlUWjrCz7Z6NGZFVvH3HEEbRp02aXYk6Ew5jFRYhAgLenTOGGhx4mEAzudPzIkSOZMGECIhql8o9lJB51NJs+/pCC0lKOveraWAmPttnZ/D57Fs7GTWLHmtu2YZUW1zvvTQ89THFxMW/cenO1u9jA3FaA4naBomCZJkooZLe9itpuzus+/oR3Fyza6Vr9LhevXDCUs7p1Q22QiaNZc7uVl8OJo3mLXSYl/Jny8nKaNm3Kl19+Se/evff4uGg0ygknnEBWVhbvv//+Ll+Lbt26sXjxYlRFxalp3DJgGKOPGoQD232oOFQcmQm4s5JQvU6cWclgWNz87P18M/17pj3/Ni3bt8GZmQiWsIVTVcS2bgGKU8OqCNm9UDUVYVpENhRhhaKoPjdVRWVc9tLdbCnaytvD7yfD8NndEgwTC7jlm/+SU76VD0aMI7FDEzxNU1F8TlSHbTEzTZMOg47jyTsf5My+pxDNK9uhDIoIV5cMEQI10YNRWIXQLawq2x2sxrlRPS7MQASq1+3IiMPVMCkWsxctqMCZHl/nXoqIjmVaaF4Xvs6NGTp0KPPnz2fJkiWk/QUrdE5ODnfeeSfTpk3j1ltv5dZbbz2o/whK/jonnngiP/zwAwkJCbH2dS1btsTn87F69WrGjx/PTz/9BEBCQgLz5s2jffv2B3nVOyKFm+SQQghBXl4eq1atYvXq1axatYpVq1axePFiysvL6d69O3369KFPnz706tWrTk20g4VpmmzdupVNmzYxfvx4Jk2ahGmaO42TUYBzunejXXoGKV4PKXF+kr0+Uvw+kuPjSIuLw5/RwI65D1UnLSCw4uIwVA3dtNBT0yhyuymwBLm5ueTl5ZGbmxvbXrFiBQ0aNODkk0/mlFNO4YQTTqiT6SjCYYxNG2N122bMn89ZV11DqJ4G6h6Ph44dO/L+++/TsmVLAILr1uJv1Zr1H0/mwvvuY9HKVZjVde2cDgezZsygx3HHxeawKiswc7fsMLdhGGT17ssnE96kV3Y2CAvF5cYsLcHamo+orgMHCkKPQDAEioJpmLz07Xc8/L9vsYSInbsGl8PBD48/ytGdO6MmJ6P6/aA5uOKhhxl9xRX06dOn3tfm3nvvpX///pxwwgl1nr/rrrv49ddf+fLLL+s9bmcUFBRwzDHHcOWVV3LXXXftdNzFF1/Mu+++G/vdrTlJ9yfxxMlX0zu7I4rLgZbgwdUsFc3nxpWViJbixwpEuPmRe/hixrd8/tQEWmQ2QU1wY2yrivVBrbGyCSFQNBVHohdUBbMqjF4UQN9cgjAFhqEz9rVHmbNyCRMH30WLpIbViR8Q1qMM+eheujU+gsdG34qvfSMccbZLU3E5+O73uVxz0/Ws/HY+mqmg55dj/ckyZuk6+eUlpCYmktjatmAJ0yL46xbMsiCK342iKJgVIaiOU1Q9TpwNElDjXFiBKEZlCGdaPKrPzraO5pVhBXVbYFoWFYmC9iNOQlEUOnXqxJw5c/B4PAjTwooYdmkT994lH8ybN48bb7yR8vJy3nvvPY4++ui9Ol5y6DBy5Ei6d+/OyJEj6xXhQghuuOEGXnzxRQBOOeUUvvnmm797mbtFCjfJIcGrr77Kq6++yurVqwkGg2RnZ9O2bVvatGlD27Zt6dy5M8ccc0ydXox7gxAmCBNFddnb0UIQJjhTUbRdl3owTZPc3Fw2bNhATk5O7LFhwwY2bdrEli1bMAyDhg0bUlFRQVVVld0aaicfLZ/HzTvXXM2JrVvZmZJC2OU9NAXcHhyNm+Bo0RJj9UrM8nJEIIDicNhJBpoGDgfOJtl2z83/Z++8w6Qosy7+q9Q5TE4MzJAzKElBFMSACcw5rNk1R8Ssa845xxVzjhhYEypBBQQlZxiGyamnc4X3++NtBkbAsK677rdznqef6emu7qquru46fe8955R13Wb1KJFI8OWXX/Lxxx8zbdo0li5dyv77789jjz1GUVER1oYKRLS1bfnVFRX0G79vu8qerutomsYdd9zB2Wef3c5c1kqlMDweHrzmai6+5VZSW1QWNU3jiCOOaDczJ4TAXrsGkWpPDGfOm8dh551P1bp1iIr1m5c3LayaGklcG+pwFFUKFFqjYBiIeALSKVY1NnDYE8+wpq5uq31QU1FBXlERpJKAwpyFC9l9nDTV3V5A/MCBA7npppuYOHFiu9tra2spLy9n5syZ7LDDDtt87PYwf/58Ro8ezUsvvcSECRO2ucw111zDrbfcgvmTtq+haozttiM3TjybTlkFuMtz0XN8eAeUyFakkPv2iluv49WP3+XtG5+gZ3EXlC1MfY0CSXQAUMDbr1iSnqoWUqvrsRpigDT/tRNpbnz5QV6a/SHPHHg5g/K7yjQNTWFDvIkDnr2Emw4+h8P2PADfoNJMBBYcfM4JjBw9ikmHnYYTTUlhQUNMjmu6NBRVpT7WRK9jxgLSXDgnnE12OIuw6iXbFyTXn0W3vE50zyqhR0FnOmXnowkVPdefEaY4OKaFnhdEUcGqjoDXhUhb2C0JEPDgjNe595MXSJop3G4348eP59VHn8VpjMs2bTSFoqkYpdm4ikJt2/9LsCyLW2+9lZtvvplrrrmGSZMmtTNO7sC/Bo5pE1tXT6KqGSdto7o0vMVZ+MvytrK4+aOQTqcpKyujuroaVVWpq6sjJyfn37LuX4sO4taBPwVmzZpFVVUVvXr1okePHr/om7UlhNUCZguoLnAVoCibCYaTqoHGzyFRIQfcNR/oYVQjSy6gKAhXCaZeyrqKGlauWsPy5ctZvnw5K1asYNWqVVRUVOA4Dp07d6a8vJyuXbtSXl5OWVkZ5eXldOnShdLS0jYlavWSxbzy4os8+eprLFm5El3X2wWo+71ebj7mKE7caYQUI1imbIeFw2j5BbhGjkLVdaz167ErN2DXVEtbDCFQDAM1JxctLxcllAlLz82VCQXJpBQwbIPIVVRUMHnyZD799FP+/ve/s2e3rm3RUSC/rII7DGkjm5qmMXz4cF544QW6deu21fOl02ncbjc52dk0NjVtdb9hGFRVVZGbm7vF+2TJ19LairQ40fjb44+zpqqaF154AWtjJSLSsnl508LeUIEdi4HjoBiGJHKmhUjEQVGoqK1l1C23cfDInXn5qxnYjoNl2xiGQSqVatdSmzBhAr179+bOO+/c5nFkx2NkFxbxxQvPMbB3H5RgsJ0q99xzz6WyspI333xzm4//Obz22muceuqpzJ49m759+251/yP3PcglkycRT21d8TRUHUWBWw67gJNO+Ave3oVoPhfmFia7qYpGbnr2fqZMe5PXL72PAf0HtH0OFJeGkR8EXUVRFDx9ClFdOk7SJDpzdZunmh1NYrcksWMpHpv2Mo/NepvpJ9+PR83Ml3kNPlz9DZe/9zBf3fQ85bsNRtE1Vq5bzfBD9+CHKZ/QqWtnUusbsSMJRMqWxEhRUL067q55iKCLqJKmfkMNjY0NNMVbqV66lrp1G6mpr2N13QZW1lawtmEjmqLSNb8TPYvK6J5fSvfcTnQtKaMsu5DcYBaYDopHx2mVLWHHpTL0pmOpi24+Ht1uN6cedhy3XXAVZk1rm1gCBbRcH+7OORgFQWmv8wvGvwDffvstxx13HMXFxUyZMuVXWb504JchHEHzjxW0LquW38lbqIjl+yII9ioia2DnbXoX/qtx2GGH8cYbbwDw3XffMWzYsD98nb8FHYY1HfhTYOTIkb/5McKxoPV7SNdvvlF1IYKDUVx5OKlqqHoBbOmr5lhJatd9y7L1KZZt9LNsZSUrVq5lxdoGVlfGUFWVHt3K6Nm7P7169ebII4+kW7dudO3aldLS0u1mHQrTxGmox2yVFaysaJQzjzycMw87lBWLF/PiBx/yzIcfUt8SkbE8qRQb0hZabq6MarJlTJRaWIirX3/0rGz5nC3NcqZL12WuZgZONIIS8EM8jhOPo6xeCQKUUBBFVbFdbvSSTihbkN/OnTvzwgsvMGXKFI488khOOuRgbrn4orbX5HK5yA6HaYlEUFWVsvJyZsyY0a7KtiU2ze7Ft5EvCrJa98wzz3DJJZe03aboOnqnUoRtSzGGrjPty68499xzAdCKSxBe32afN5cbraQETQjsellRsxMJRDwmSaquc/7LrzJh6BAeOuN0Lj/jDE65/Q5mfT+fwsLCdqRt3rx5fPbZZzz55JPb3F4nEaf+xx9pjUYpKykB4SAiLVjxuBQ1GAZXXXUVvXv3Ztq0adsNlt8eDj/8cObMmcOxxx7LN9980+5YEqZNXmz7akhHOCgoCL+O5tVxdcrCrIm0e7zdEOPSvU9ET8PBN5/Nq5ffz459BmG3yqqckzBRFAW9UJIUkG1IvTiEvaKu7X+zthVFgdPHHcGE7iPxaK42lbOiKOzfdxRTF83gxtcf5ZFet6HnB3j0uaeZOHIvCvxZoMmTrnCkka+qSxsT1WOgZ/nw9CogpGuUDOjetv2x7yuIzVuPs8VMXiqeZN2G9axM1LC6poJVdRuYuWI+axurqI00EnT7KM8roTyvhLKsIroWlJJIp4gk2ydGpFIpnnh1Cl2CBZy271EA2LGUbLvWR0ktq0XPC2DkBXCVZmGUZP0sgRsxYgTz5s3joosuYvDgwTz88MMcc8wxv/Io6MC2IBxB3dfLSVS3ZFrk7WtJm0hcZFk1ZkuC/NG9/nDylt7ih/afsbLaUXHrwH8tROsPkKzc/L9wEOkG6huaWN1YwupFn7F6xQ+sWNvAsnWtLFtdT0trms6FHnp1cdOni5uepSq9uvjoWRakS0kumq8EskeiZu8Gvq4o2s9LwoVpYq1bK6tmGVjV1YhUUjp6qFpm2wTfzp/Pcx//g1dnzea4Aydy76RLpFFuMgWGzkqfn0uuupqrrrqK0SNHkvruW5xoBNHUKJWFm2BaEAqiGgbC5UYx0zJ2yuWWSk7kevVu3dsRvk1YsWIFBx1wAPuM3oVbJ20mVnv+5UQs0+L0007llvvuZ+nSpdt93XPmzGH48OE/u29KSkqoqKjYLvmrq6ujqKiIjRs3UlhYiBNtxWloaKscCtvGiURQVAWRiOPEE9i1NThNTYhEgufmzuOWj//B7OuuJjs3F9fgHVEMnSlffElDJMLkyZPb1nXQQQfRrVs37r777m1ui1Wxnnnffcc+J59MzexZ7e5Tc/La9uuDDz7I/fff32a2/FuQSqUYPnw4hxxyCNddd13b7emNzcx+9WP2vOQ4TLt9q9StGfQpKOO+oy+l34ABePoU4CqSilMnZYGiYG5szlST5Anu0Wkvces7TzF5779wyuiDUBUF1efO+LB58A0uxdOrAEVVcZImiUUbJWlyBMmVtVi1UYRlS5GALUBVpPmuWwcFmhKtaNleCrt3oTUVY8DJ43njb48yvM8gBAK7LoawHIQlveO8/Ypl3JgKnv4lqD8hRvGFG0lXNmLVxTIJDhbCFvL1GSokLDlGkDmOkrrN6sr1rK2vZG1TDWsq17G6rpJv1i/CEe1nHTdB13SmXHYXe/YagVUbkXNxCmhZfvT8AJrPhVEUQs/24e6R/6sU2u+88w6nnnoq+++/P48++uhv6hJ0YDOaFqwnsqy6ba7xZ6EqhHoXkT34j4sqM02TkpIS6uvrMQyDhoYGgj/Jef5Po6Pi1oH/CjiOQ3NzMw0NDdTX11NfV039uq9paIxQWVXP6rWVrFlbwZoNjURjaQpyvXQt1ula7KFnFx/7DA/Tq3MhvUoV/K4YOAqQos0/TTSBmYRYC1jNOHoOaroaER6Bom9fAOE0NrYjbQCqx4PV2IBQVNTgZlPcEYMHM7xnT+677hq0rGxUXQevl0QyyY1PPsW9jz+B4zjsvffe7DJsmKygJeM4KDjxGIqmoXi9CAQ0NyNy8xAN9XLoXDdQQiHUZFJW2hwbp6UFbYtW5Sb07NmTN15/neEjd2bcyJ3ZO6OU/Pjpp9C8PpZEWqm67PKffT+++eabdv8bhoFpmvh8PhRFwbIsNm7cyGeffcaee+65zef4xz/+wQ477CBJW0sLdtVmEu40NGHX1yKSKZRQWJ5IFXnyVtxuKpsauerd93nqtFPIzgpLotfcjNatG6eeeWa79Xw/dy7Tpk1j+ayZ2PX1qOEwyk+qpyIWY11lJV1KtvZ2E7EoIInbX//6V5566inuuuuunxUbbAtut5spU6YwatQo9ttjPEMGDEb1GNiRJCV5Re1Im6qoCOFwxZjj+csuE3BlB3DiKay6KKpLl4StJoLqcyMsB9VnYLfKludf9z6SQUU9OO+5W/nHolncc+QkSrVCcGnSw21tA6rPhbtLDsJypMVGJAm6inAEiqEiVEXmkibMzH4HkbLQwh5yPdmoPjeKpvL3j96gb6duDOs1UJrntiTkjwxVQXHpCMshtboexetqsyY0CkKy8rfpBiFwFWej5wTa1me2xLFrWrFjafCpbZU4AK/mYkD3PvQJl+IgED2TVLTUstuTZ29331u2xfG3XMTbp9zODiU9peJVUxH1rVKVGvZiNrTi6pSNnuOXc3W/gAMPPJDhw4dz8MEHM27cON566y0KC7dOsujA9uGYtmyP/hrSBuAIWpdXE+7X6Q+beXv88cepr5ddnAkTJvzpSBt0ELcO/AkwY8YMnnrqKWKxGLFYjHg83u56a2srjY2NOI6Dy+UiLy+PvNxscsMaeTkhivLDjB0a5KQDdqBrsU55kU5Ab4ZUFdhJUA1QbHCa5FyXo4FjIUvyAhwTcEBYYMfl/83fInJGosRWQHj7KjJniwH/TVACQdkOFCbC8csIK8gID7og4nG0TCXsHzNmcNqVV9PY0oJpynbWxo0bEckkTlUVTnMz2DaKqsoGgm0jkim0/DwUXWubSROWCdEoIhxqa5H+VAiwJfoMHMh9997HKVdcwZz33qWooAAjGETNzqG4sZFIJEI8Ht+u/cFBBx3EOeecQywWo7m5mZqaGoYMGcIDDzyA4zg0NjbS2Nj4szNAX331FePGjZPChbrazfs0FsNpjYDhRrRGpSBBU3BMmVGqBIOc//CjTNxlFPvuOlrua1VF6BpaSXu/LZFMcsOVV3LKYYdS6Hbh1NfiNNSjlZSgBrcg5IrC+o0bKSvZhl/XFjOTuq7z0EMPsddee3HMMcdQXl6+3de3LQzq3Z9LTjuHw444gi9eeIeivELsSIJsfxhd0+R8nqazS+cBVEUaqGttgrSDE0li9MgHFKyGmLT3SJqkK5tRvS5UnwvVLxCWjUjYjCjpw8dn3Mff/vE0e913Jjcffj6Hjt4HkbH3sJrici4slonWCnqkKa8twK2joWDHBEpQA9PCsQSK30ANuNtSGBKpJI+8+zy3HX0hVm2rrOClJfHa1I51kmmEEGiOg6KpmNURzNpWXE1ZePpI70HN78aOplDdBrgNBAKlKY7iNVAyZr2bAu3lk8p0CEVXIWmiGBrPz/8YTdFwxLY93gBsx2bCExdz1biTOHqHPQn6AzgpE5E0sRpjIASpVfUkFlYS3n8g3p6Fv9iSKykp4YsvvuCUU05h+PDhvPvuu79ZvPK/jNi6+ozZ+G9p/CnE1tUT7PGvJ8nLli1r+0Hmcrm48cYb/+Xr+Fegg7h14D8Or9dLWVkZfr8fn8+H3+9vdz0QCJCbm0teXp50sxY2IrkOGj5HmBFIroFUNThpKVKwmqSS0IoBlrx9U2QUDihe+WWxibDxk/aKHQWzARLrQQ8ihI2i/Ppfd4quoWVlS0uL5mZAoBguFMMFwkErLaXeEZxz8UW89+FH7bzehBCsW7MGa90a7OZmnOZmhJUmkkpRH4lSF2mhrqWFFo+XlOOQirRiWhamZZG2bSyfD1vXufKsM8nO+XkPq5NOOYWvZ87kh4ZGSnfaue323NxcdF2nurp6m8IEkO0ETdPw+Xz4fD6KiuRJeI899tgmWRNCyJirSEQKDbw+VixfztHHHAOpVLuqpaxwIUm2bSEizQiPB+E4OM3NPL9gAYsqNjDlumtQAwFZcVQU9JzcrUx1F339FR98/jlLPv5wi41xsDduhG5eSMRlQL3jUFtfT0Hu1uoxJdT+F/eoUaM48sgjufDCC3nrrbd+dh+32weOQ2ptPRefcBY3PXAnvfYewYNX38ZRe07EiSbJD+UQTya4fb9z2KfrMBbXrOGQl65ibM9h7NRjAHYkiepzk65sRs8NoGiygoahguPg7pqHY5mkFlWjGBqhYJC7DrmAvRaN4NLX7+fjH77mzrOuIr+4ACeWwomnZUoBoLp0FK+ByFTWNqk4cQRC01BcCmrAIw13PS5U4OF3nqUgnMM+Q3ZFcRmIlCXtPGJpFJeGSFtgOYiEid0URy8IZFqoDmZNBMe08Q3shF4QxI6lZBqCAoqqoqighTxoIQ9WTSsEPIi0hYJADXiw3Qqq6UH1unASJl+s/R7TsdBVjYDbS9gbJLcgj7xgFvmeLHIMPy5TYUHVSt5e+AX3fP0SB/XbjWP77UG/3C7IFQOGRromQvM7C7B364F/SJmscP4MvF4vL7zwAjfffDO77rorU6ZM4eCDD/7Zx3RAIlHV3E6I8GsgbIdEVcu/nLg1Nzdz4IEHEonI+dHbbrttm0KiPwM6iFsH/uMYMmTIr46WEVYrtHyH4qRwzCZonA5OZkDebMxUzdJgx+QXsSOk7YcCKCLjSyVA88lqXBtpU+RFVeVfJwlOAmHF+bnf3GowhNNYv/Uduo7qcqH8JMTcampkyiefccmNN2JZ1jYNer/84gsO3LCBmrpa6ppbqGttJW3buHSd/ECAvGCQ3Kwwbr8fQwhcqoqh6xi6hkdVcXu90mHkF5zjFUXh6aef3vo1qSo+n4/4z5jxptPpdgP2qqoSDodpbm7eirgJIbA3VsqEiE23xWOsXLaMbl26bBHvlbkvY4kholHQdHB5ZNUymaKyqYkrXniZZy65iKwtslkVnx/lJ55+TjzOfU88wRH77UvpT6LOhGliLlooTXkBbItCr5dFy5a330ceH2pWNj/FbbfdRq9evXjvvfe2a/HxU9jNCYTpYBgG/Xr0YeGKJZx7w2Xc/cSD3Hb8xTx38o0U6yGCihsnbdE3t4xLdj2KC6bex7TT7yPUaMhqVmafKoqC6pHZtSJtY1Y04iRN7GgaIcAxHVQF9um9E0PPepBJ7z7AG59O5czTTsdpTaFlt6+miqSJioLQ1bakAidtoeoqqkeXrSnTwU7EWdSwnttfeowXzrsdI9ePHvaRWlOP0DUUQ5UtU5cqP3IJE3QNuzGO8Ln4y4OX4dc97D9oN/becw/CvTrJXNbGhJyL8xrSKNglPeJwkKIJj4Hq0fl61XyOv/UiHj7+SsaV7wiO4P3z7gcH3GioLh2jIIinVyFWYxwhBFZdlPSGRqmzAL5fs4Tnv/+IQ169mh0Le3DDbifRI68U0hZoGlZtK/F5FaBp+PuXbLZT2Q4UReHKK6+kb9++nHDCCVx++eVcfvnlvyvN5H8Bzk9Mmn/947ZfWf1nkEgkmDhxIsuWLQPgpJNO4oILLviXruNfiQ7i1oH/LrQuQNgxhNkI8bXgpOTFagVhZtpam6poKii6JG4I5Fe2CloYjCDYLXKxtu9WBdBAC9BWujey2qptwnEQkYj0XtM11HAWak6ObOuZm1VIjuPQFE/Q0NJKzZq11DQ2UlVXx9rqGp784MN2nmfbQiqZZK/ePSnaYSB5Xi/5wSB5WVlkhUMoLrd8JcJB61QKQiAiLQjLRvEFMLpLQYJWWPSLIeq/Fz/VNWVnZ9O0DWsQEW1tR9oAUuk06zdupGtWWG6nyw1pOaOlaDqOmZDGu0JIBaqqgtfDRW+/w/477sCenTtj1zegZmehZefI+b7sbITjtCkga6qqeP6dd5nx6styOzImvYqq4jQ1yWSGDHFTdJ3y3r1Y/+FHoEnPPCUYktmw2xBX5Ofn8+CDD3Lcccfx2Wef/SpTVqs5jhNPobgNRg/bmYUrlmDZFisq13LkHReyS98h/G2f0wh5fSiKrNyetushfLF2Pld/+Bj3HHghVk0ELcuH3RBF8bvRQ542YqJooBg6IGR1ylBxTBssQa4rxFOHXYlRHETRdYSwtsr1VAQyF9fQUQwdLUtHSaSxI0kcYaMYOum6KLWtDRx3/4WcPe5IdirojVXTitEpG1fnbOyWJJZjI9LyuYVp4Zg2ipBjpXY0xdk7H8rUhV9z/fuPcd4rt7PngJ2ZOGov9j90IoFQFqCgujWEpmCub0Yg0AIuKVZQFb6e/y3xVJKTn76Gc3Y5nIvGHo0nU310MlVCJ2Fi1kfBcsDQ0LO92K0+FLeKSFjsUN6HQYXduHKno3lwzjsc8NqVnDlkImcOPRAXCsKG1LomQEFxQM/24SrL+UXz3kMOOYRu3bpx8sknc9JJJ1FcXPyLx8X/MlTXPzen9ktV0N+CdDrNwQcfzFdffQXAkUceuV31+Z8FHcStA/81EGYLIr5KKknTdRBfCulGEAkwo5Kg6d7NVTYyA+0oksCpRsbsVgFXDlgtmKkI6ZSJ5RiYtoGFB1P1Y7aY2I0txEMa0UVfEmlspGnNGlojLbTGYkSiUVpjMZrSJk2RCPU1NXKuq7mZppYWOY9nGBTm5FAUDlEYDpMdDpMbClHT1CQH+O1t/9q0HZtThw4BS56oUNU2deomMqa4XKg+n3ytmVQANRhCKypGDYW2Gr7/zfv6F8TmoVCIVCpFOp1u86/Lysqiubl5q2WdSGSr29ZWVuJ2uSj2+xG2jVZYiL1hg0xOCAQgkan2aZr0ugNemzGD71ev5dubrkd1ZV6fosoZqlAYJ6PmRVFRQyEeeuIJdhs2jH4F+VgVFXJ2SlFA1RGpBHqg/Um1rLSUddXVqFnZaPn5v7iPjj32WKqrq9lnn3346quv6NOnzzaXs+Np0hWNWPUxaXarQHlOMV6Xh0RaziGatsVXi+eyx+K5HDl0byaNOZYcLYSC4K4J57H34+fz3pKvmThgV3Bp2LE0ojkBIoxIWahuTf6Y8OgYeQHMOqkMFY7AseVnQXNraC4dsyGKq1MW6Y3NMn7K60ILecDQ5KycoaJ4XYikiUgp6Dk+tDw/qqYiaqOcev/fGNltIBfuewKqqoCmYa5rxFWeix1PYzclZEVE18CypV1gysJJmiiqwg4F3dlhj+5ctc/J/Fi5io9WfcMtrz3KOY9fz56jx7LXqLGM3WkXuvfqCRo4GXWr5nfjJNLMXPo9jnBwbHhkxhvMrVjKo4dfSkjLVJgzs3AibWFHUqguDcVroLo0HNNB0VVUvxtUhXA6xJWjj2VCr5FM/uwJpq6czS1jT2VoSW+EaZFuiKKuqsXXt5jUmno8vQt/sYq2ww47MHfu3I5q26+AtziLZHXkN7VLFU3FW/zP5dD+FKZpcsQRR/Dxxx8Dcnb3+eef364S/s+CDuLWgf8aiFQ1JCtkLSxZLVujZn1GaJCZX7PSkqSBbJsKkMRtcwUNbzdJ6Dyl7HX+t3z9/dZVIk1T0XUdn+8pQqEQQY+HoM9LKBAg6A8Q9PsJBfz0KCwgb9Qo8goKyM3NJScnh9zcXMKtEbyKglNbI+e0LAsRT+A0NxJtbuGBGTN57suv2djQgK5ppLdwzI+l0qQScVy6AaYtfaV0ZFXN40H1eEA3ULNz2qpBSjCEVlzyq4PTfw1+7sSzKcC7paWF/AzJ2V7FDWfrL+VV69bTrXNneeIXAtUfQCkrx25sQHW5ZeXUdnBSKURrhPrmJiY9+xz3/eUEcrKzUQLSj0zNygJVxa6p3mw8LBwilZU88sgjPHf5ZVgrVshkCkOHQAAUU9qwaGq7NnhZSQmRaJTmxgZycnNldTWdBkNHDYXbpRFswsUXX0xjYyN77bUXM2bMoEuX9jYFwrRJr6lH2ALV70ZpiiMcQamevVUL3s7Ej7027xPe+P5Trtn7FI4bug+F7ixuPeAcJr//ICP670Bp0otAQfW6ZAi96SAAI+TBVZpNurIFJ5EZuNc19IBHmuC6NNSAVxIhIaRSU4BtJnFiqcxzWTJOSlXRcv2oflemAqfiJCxUXePeU66kW34nDL+3LdbKSZqYVc2IlI1jOThpG0VVUP0uVExEPI2wpJJT0VXZdlUUBhZ3Y1C3Plx+6OmsjNfw8Ypvee2jt7nktmsozM5j14HDGTNoJ3YdNIJCIw+7yeKHNZttalK2yTfrF7LnI+cy5Yir6d+rD2peACxHWqbEUthN8jXpRSGcSBKrKY5i2WjZfpzWBAiFQfndePewG3hywQcc9+4tHNFnDJNGHUVAV0mvb0TzuDCKgtiRpIwM+wV0kLZfB39ZHk3z1v3GRwn8Zf98Bu0m2LbNMcccwzvvvAPAPvvswyuvvIK+DQulPxv+/FvYgQ5sgiVbF6TrILkWUvWy2pZpa06dbXLrSwlG9tMZNcDLyH4uCrMFaB7QgpK8aX7wlklSl92LNx8dgEhuQFfSGC4fhsuNljMSvXBfFE8mTzGZxFq7erubpRYUouVI2w1J0OI4uoZdVYWIRXGiGZWkZbG0ooJr3n2PaYuW4DYMvr34fJ79dg5TvptLyjRJZghcXSxGp7w8FNtB2DaKbaPqkkBoOTmo+QWStNg2isfb5u7/74LH48EwjK2I27YqborPv1lwkMHytWvoXtYFxe1p85pTPB70LVSd5oZC0t/OBlVh0iuvsUvPnkwcNBCRSEBWNorLQHF7cBrqcUwT4TLkL3dd5+kXXqRLdha7FOThpFIymcIwUBwHtbAIRdOlYjVXVjCF4xBUVbJDQVYvXUoQ2Y7eBKeuDq20FNW3tU3EjTfeyNq1a+natSsXXnghF198cVuLzGqKt7n1K6qCXhAkubaBUiOLlLXtlnnaNtFUjdnrFnLCiP0QfhcTRozjy9pFnPf6nbx23t0YugGOs9m0VlNwEi6EqqBn+zDrWlFcOqpLz+R6gpblQ6RsUDSwHIyCIFZjDCdtY9VGcZImmt8tZ8sU6fFmJy1Uy0GxNNLVEZxoiu7BYjRFBVVBdes4KQsnaYGaRtFlPJbmd202+g25sdMmOIokc5vajYqsniiaioJC3849GDxyOJefczGxRJzp737Ml/O/4ZG3pnDmvVfRo6SMXgVdtkqXSNsWNdFGDnh2Eg+ccAUTvWPAY6D6XAjTxkqaOGkLBUXOznl0rIYYTspG9btxmpMgBIaqc+aOE9m32wgu/+JJ9nrxEh7c/0KGewZhNcZQDBW7Of6riFsHfh1UQyPYu+g3+bgFexX9bisQx3E4/vjjef311wEZPv/WW2+1dQ/+7Oggbh34w2GaJg0NDdTV1UkPtvp66urqsCyL7OzstktOTk7bdZeagMRaObumucHTGUXYOKoXYsvBjCCrbJs+7IKhvTRO39/DzEUW1/09yqK1Jt2KdUYODDByBw9DBhQzoN9AvIqG4soB3Ude1z1wzBZI14KeBfkTUF1Z7X4xC/vnB2FFOo3T2opVLYma4vagKMgIp5YmnLTJhpparn/rbd6YvyCztWDZNt2zsrh+7724Zr99mLZkGU/OnMX0latIpUxZhdJUaUirKOjduqGXlKC4PXKGbRu/DC3LorW1ldbWVrKzs/9pD6K33377Z608FEUhHA7T0rI5oiorK2ubFTc1KwunuandHOAPS5cxqHdv1LzttyRVvw8tv4B3Zs7i0wU/8s1Vl4NpoWiazFktKETRFPncQiDCYYRlk9q4kQfefIurD5yAkohDRtGruHS573xeEF4Zm0Xm/WuoR9g2nQsKWL1gAQMCftS8PNRMa1qkUlirV6H37ov6kza0oig8+uijvPjii9x1113cc889jB07ljPPPJO9B45s+5K1WhNYjXHs5jil4YK2CtuW0FUNXdO55cCzOWLkPughHyJlImyHGw48k4n3ns/lL97N7UdehEibMsPWrYNQMGtasZMmrqIwep6/TTWq+lwoXl2SMSuNGsgoSb0ujHyF1LomhGmhGBqKx8BpiqMGPbKSWR+FXB+KIxDJNCKRuSR1dE1Dz/ejJDScRArVUFF9LrSgR1biNgXFqypKjh+rOd5monv/16/hcbs5fth++DGkvYc781oAozHFbt13YHSngSgHnUFzpIUZP37Ha3P/gaoo2D9p5TtCkLJM/vrMDXw+/Bvu+sulKK4AqktHy/Ii0jZOLAmqipNIy+SEprisAuqZKrUliXp5uIgXD7ySvy+axnFv3Mgd+5/Dobn7IZwATiYerAP/OmQN7IzZktgiOWE7UBW8RWGyBnb+XesTQnDyySfz0ksvATB27Fjeeeed/yoD5Q7i1oHfBdu22bhxY7vw9U2X9evXU1dX13ZyD4VC5OfnSx+2vDwMw6CpqYnGxsa2v5uUjAG/l3G7DuaIA3dl4vidCQQaEE5SWkQoWptvLqibrlCUo3L83i6OHy9FCc2JLGYvtZi1OM0b0xNc/dg3NEem07NLkEF9Chk4oA+DBw1k8MDelOb6UdJV0PQZGNkIbxfwdpeKRZebLVbYDiJt4tTUYJsVkkCAnDfLtDFro1Fue+U1nv56JgDWFm1Du+26QAf2HzSA/fr3wwIMVUFoGi2OoCaRora1lUZLUPvtXKqbmqiurqa6upq6ujoikUgbWUsm21cjunbtyqBBgxg4cCADBw5k0KBB9OjR4xfbAePGjfvF9/6nxM3n85HYRgSWomnoXcqw62plTqlwWLBsOQcfeRTqzxBLEY3S6jK48O/PcvORh1MUCrUlKojmFtTCIkQ6jUinUb0+hCOwamp49R/TQAgO7FqGE4tJLzLS0rLCTOOkTbTcPNB1BApOYwNOOg2mSXl+PsuWLsUZ0F/6wxUVI1qa2zzxhGmil5SiFhS0I/fBYJDdd9+dzz//HMdx+Oyzz5g1cyYKCoeP2Zdjd53IoIJu4IDTmsSruwh7A7Qk2lciu+eV8uJ5d1DWuzt2UyaXNWlhJ9P4sn08P+ku9r7qRHrldeGUXQ/CKArhpCzMyiYQCsIRpC1poquFPBidshAJS3ro+l0ouioNe73SL82sjWZ88DbHYAm3jpNIgy4QINWgViZ3VFelxYdpy4pf3MJVHMSJujFKs1FURbYi42mclN3msWd0CkoVqyNwoikGd+rJzR8/w+NfvcmFux/DcXsehOHWUFwa6Q1NssKlqIiUjKcKODr7DNiFmcu+/1nHL0c4vPTtR7z9/efsP2J3Bpf0ZFBBN/oVdcXTkpCfZ0NWE+WxqSKUjNQUkbF2FCiKyklD96M8t4Rzp97LhnQjk04/t41YduBfB0VVyB/dS2aVLq8G/tis0jPPPJNnn30WgNGjR/P+++9v16/yz4qOo7AD/zSmTp3KQQcdhOM4lJaWUl5e3nYZPXo0nTt3pqCggPz8fHJzc39VGTqVStK0+n2qqqp5/x/fcuv9r3Lqhfex/57DOXzCCPYbbuFz5YEVBSuesffYpCLd0pNNkBVS2GfnIPuMDkFoB4Tqo3LN9/ywrJ4f1ij8uHQtL701m2Vr6vF5Dco7ZdGlcyfKupRQVlpAWbe+lPfZlbKyMgIuF65kot3QqhDgNDej5ufhNDVufhG2RdOqldz/6mvc/ab0+TK3IUQQwPPz5tOcTFIXj1MfT1ATiVAXjVIfi1PXGsG0bLxuN0X5+RR36UJRURFFRUX07NmT3Xbbjfz8fDmDFwy2u/j9furq6vjxxx/bLh9++CGLFi1C0zSampq2m736axEOh9s8j+R7lyL0E0uOTVAMA72kE8JxSMZiLFm5kkFdOmOtX4ficuHYNko6LW1UsrJQgyFEOs1lN95En5Jijhm5MyQTMkosEED1ByCdwokp8vEInGXLsJobufvjf3DhqJ3RbRtMC9HcjPDKNAl0A9UfQAQC6OVdwXDhxFpR0iZ4POwzbChPTv2AiyYegGhKg5lur861LOyGBimoKC5uR96OOuoovvnmm7YfH4kMiX7hk3d44R/vUJyVz8m7H8KpIyag2ILS7EJaElE0VUNTVfbrtwszVy9AEyp2xhBWMTSUkCoJkw2dQvn8/aybOOyuC+hW2Jk9g7tkEhMUnHgaLBtFVzCCYRzLhrSN0SmEE03LdrGuorjlvJ+TSEvvtAzaFH6mjRNNS/LnNeTzOiBSNlrYi4in5ayaIW1CjIIQTpbVdkJ1dcoivb4xU12TFh5Glg+1ay6OaZNcVsNuvYaya7cdeH/ZTO785Dke++ZtrjzpfA6beBCoClrIi5NIo5kOViQBaQuhqcxeu3CrWCuv7iZlm2R5AuzWcwgDSruTH8plfUMVXyyYzb0bptCSjLJz2QBO3WkiY8t3QNX0zPYqKBoIW8l8jThbKM1VxnUfymtH3cDJ79xKhRLh0Qce+u0flA78IhRVIXtwF8L9OhFbV0+iqkVa0bh0vMVh/GV5/5KkhEsuuYTHHnsMgPLycu644w7WrFnzs48pLS0lKyvrd6/7X4mOrNIO/NOIRCI0NDT8bAD7b4WTqoOm6QgBOAkUq5lFyyp59YPFvPr+PCo31jJhtzyuOrGYPkX10goEIWfWNlmAoMqqnJ4FRi64C8BdnLGWiEmBgrtA1tAci0TzKlbW+FlfFWN9vZd1lY2s31DLug21rKtsprq6pm37XIaBx+2WF5cLt9uFy3BhJhOkTYu0ZWFZFrXbmPXaFkaVl5EfDJKfk01BXj55Pi+FpZ0pCAcpKulEQVER4fx8jF69tzlf9Vth2zbr16+na9euv/u5Jk+ezL777svYsWMB+Mtf/kKPHj24+uqrt/sYYVl898FUxh9/AjWzZ8qEiIZGOY+Vl98mrlCzc/j0vfc49NzzmHH1FZTnZYaRLQsnnUYLhVBzc2XVLJHAWrkC0mne+XEhV0z7hHlnnYHbMMDjke87gN+P6g+gl3ZG9fnR+/ZFdXswlyzEicrKV1NzM92OOZ4Zt9xE74I80F1o+XLdwhEII4DI+DarnbtiFIYx8qSf3IYNG+jSpcvPKnK9Ljezr3ye/GAWZ065iXfmf8Hgkh48dMRldAkXcOF797GqroLXTroVfzCQ8S6Tny0t5JEiB7fGS2+/xuWv3sc7Z9xNr/wuUo3r0iWhUkAvCqO6dJxkCpF2QIBqqGg5PhSPgZEXxEmksepjCMfBaoyhh30ohobdHM9UpIT8SLk0SNsIW8Zj6fkBhOmgh72ofjf+EeXYzXHMjbL6KoTAqm3Fbk0gbIFREkZxpLjGTpmY6xultaLXQAu6sRG89Pl73PHa4+QEw0w64nT27j8Sw+fGiaaxGmMI08Y0LXpcPRHbcXCEg6aojO4yiD27DmF054GU55bIfeSAYjtSkW07CNthQ6yBdxZ/yTNzPiDk8nHKsAM4bOgeeMgozR2BYws5B5tp1ym6lqm4azSGBSc8dgU5JQW88dabZGdv7e3XgT8/ysvLWbfut4khnnnmGU488cQ/ZoP+SXQQtw78WyDS9XJmzY6CmplZ85S2XyZZidP8DTR+Ban1MvHAyAdPMSguRKKCBUuqeerVuUz5sJabTy/krIkGikgAFm0+bIoKikuSN3cJ+LrJixUBf28UKwJCzlsJMwJmHRjZKJ5yFH/P9hse6E9aLSQajZJMJklEo8QjEZLxOInmJhINDZiWhRZpQVcUXIaOoarMm7+AKZ9PZ96aNaiK0q5FuiXWXnMFYZ8fNSsLLTsbJSdHqio1FS03D8XtkUKEnxj5/hlx1FFHMXToUCZNmrTdZeyaGp5+8gleePddpv3979jVVVJ16wgUnw8tFEZxGcQirQw99DD+usc4zhi1OdUBU4aQ4wugBvyylVZfB2kTYaYZ88gTHLfDIE4fMawt2xRVldddLrROpRhdu6FmZaNoGlqnTqTnfNtm+gtwzNXX0rOoSM7IGS60QplTakVMFF9W23JKbhGK24tRGMQolJXGHt26s2rN1kIWTVHxe7y8NfkhBvfqh9Uc58sF37BswxqOH7QXig2KW8cKGxz54CQKfVk8cuwVaF43WsiDHvbK7E/hgCmJ1s0vPczbP0znvTPuJtsdQDU0mT3q0lCD3kz8VRpXcRg14JbB6o6D4jNwlWajegzSlS2oXkkMnVga4Tik1zXKWCuvQTKdpqq5joqWWmwcdujal8KupSgqGJ2zUXUNPT+IE0tJs1vTQvG5UFDkcwTdqLqG1RjFakmSWl2P3ZIAx5EkNCC96BS3QdJO8fTUV3nk45fRFZW/jDmI4/Y+hBxPADuSxEybXPDS7cxatYCq5npcqk6v3M48N/Fysn0hmSABknjpGfGEpoEQOJaM3EoLi3cXfcWT371HTbSR43YczwmDx1MQzJE+jYoixRK6KhMcFFADbjw9CkgFNE6/53JWrFrJZ5991uHR9l+IDuLWgQ78SohkBbQu3Py/kPmDirccJdBf3pauQ7TMQcSWQfM3GQUpMpZKMQBV5oi68sFs5Itv13DyTRX07qzz1CUBSvKUDFnTQXHLmR1FldW1rJ1lxc0xUUODEXYCEqvBSeKYrShmLbiKUbJGoqg/mR4IDmpTlwI4sSh2dbUkEMkkdkMDaigMwsGJZCoOySRONIrq9rBs8WLu+OBDXp39DZqqtrP9AFh5w7XkBYLgD6CFw2hFxRj9+qGGs2SWw7+okvnvwMEHH8zuu+/Oeeedt91lzJUruPBvf0NTVW6/6EKculq5v2IxsC0Urw90g6tefIlZP/7ItNtvRa2vw0mlZbXNNKlqaaaxNcqAzqVy3qmlBYTg42XLOfft91hw7pl4XS5J1hRFHgcuAzUnD72sDEVTUbOyUQMBtMJi0suWSLFDBu99PYNLH3mUH+64DdXjQcvJQaBjp3UUdXO7RsnvJEUPqoKnbxGKpnLpBRdz38MPkP6JyXJuMIv3Jz9Cz549QVex6qI4kThOwpLh7ikTVBVF02gyW9n/gfM4eNBYJh96BlrALUUGnkzbEkAIkhWNnPnKLTS3RnjhmL+B5aC6dUnEDB0nnpZ2Ky4NLdheCWnk+Aju3hu7KY4dTSEcB7MuQnp1A2ZtlPeXzOC+L19h6cbV6KpGp6wCUGBt/Ua6F3Zh+MAdGDliZybuNp6C4s3RQ8KWPmmuLjloQQ+KqpBa30h6bQNmXStWYxyrISZfL4CqohUEESkTRVfQQ16E38X7n3/MU9NeZ+7qhRy4816ctOtBDO09gHg6Sbcz9mibDzVUnQJ/Fi8feh2dwwWy1amINhGEtNLRMqbVQrZHFQWhKcysWMjjM95i5tof+evoQ5g04WQUVUHETLSQW9qW+Ny4y/PQwh4UVUXN93PGZeczb948pk+fTk7O1hFpHejAH40/t8tcB/7rIYQNMRkjIsxmRHQJtM6HyAJE43TZGgWIrwazGcWOguqSA2DpBkhVk2hZzWdff89VD/7AkCOncvLffmTsDj6+f7qcolydwac18PqXjqzkaR5wBUEPSOsPxUDx90Xx95JKUkDRvCiB/qT1bvQa/wxHT/6OJ96uZtXa2vZtLkUDV8Hm15JMSpPYttB4N4qm4bQ0IVRNkg5oq/IIx6Fnz548dsrJLLz+Gk4eNRK3ruPZgoxZbg9qVpgGt4v7Zsyk5xFHcupFF6Maxn8VaQNIJpO4fymtwXGYPX8+O/TrB4BIpXEiEURrK048gUilmPPDAh578y0eOuN0dF1HycqWIgZdw0klOf2ZKTz22ecyEismZ8GE43Dn9K84Z9TOeN3uzZU2VQW3GzUrBzUUajuhOy3NssKCQC/vhuLeTGzG7zQCB4Vbv/gSLSdPKnj9We1IG4ZbZs8CzS0tfPz+h1x//fV8t2AeWx5Chm7g83gJ+YO4FQ07msTc2IIdTSIcUMNetJBX2nBoKtg2YdXHM8dcwzPfvM9bcz/BSZmkNzRiVjVjtyak+tJj4C4Kc99pV7G6vpIX5nyETBzQAQWEnBtqyx79ScXXSduk1jeg5Qewo0mSy2pIrWli+oJv2O/JC7nuw8c5efeD+f6ON1l73zRmTHqaGZc8zZK73+Omky+mU04hL737Ov0O2oVzrr+UhSuWABmiJADbaZt5EykLO5KQVTBFab8tjoMdieM0xbGbkjhJG6U1zYG778s71z3GJ9c+g9/j5bB7zmf8rWdw4zuPo2/xPpiORXW0kf1fmsyP9atle1TJrEeXQ+7CsmXrVAgEm5SuCqPLBvHCGbfw4VWP8f7SmZzy0o1YXUK4OmWh54fw9i3Gt2Nn9GxfWwtfd+k89dRT9OjRg3333ZfW1s2EvwMd+HehQ5zQgX8J4vE4VVVVbNy4MXOpJNK0ESfdjEg1yLERqykTFSod7Ht2zWWnEXF6jToX1WoBS1as0o6L7+Y38Pk363h/RivzVyTRNQXbEZgW7NjTDQjC4RDPXB3mjU82cObddbw7M8X9F5aSFd6skkPzgqsARdERwR2lYW8GujvElIcu5dMvv+Pld+dw/jXPUZifzbjRgxm32w7stschdM5W2XSacJoaM0IICUVRUPPycBrqIRZFKyxEpIOS/FVWIpIJefIK+OlUWsptRx7O5H325rFvv+PBj6YRTSb5fNUa3nrxZT754UfchkEilZIRT/+FSKVSv0jcVtbU8uOy5ew/dgyK4UIkJVkTjoPiMkilUpz92BNccsD+9AqHsGtrpXGuEDiRKHdP+4SqSISXjjtanpwzJ+Tpq9ewqqGRk3Ye0UbOZCatJvNOEaDrm2NRhUAkk1LkEFQR8Zg05U2lcEVaeOum69nroknkhMOcccD+aG7ZCnUch2UbKvhuwwZmzJ/D13Nns37jBrxeL5ZlYds2Ho8H0zJxGy56lHXj7duf5m/338aEu8/ltcn30z1QiFAV2VLUFBRVxVZVVI8qB7JVhT7de/HoCVdxyjPX0aWgEyN6DARboHjkUL1RkoXdHCcr4eO+867jxNsuYWyf4ZSFS0ABLeTGbgUnlpR+ao5o/zNdVXBSNon5FTgpqVp94KPnuO/D57lw3xM4eewhuB0VpzWJ09Iq24chD4Xdi9l3WG/2Mfcmvb6JZZENPPHRq4w9dgLDBw3hrGNOZr8xe2G3JNBzMjOZmhz8VxQVRZfta4GdGU21USIyXUE1dJxkGmFrCMdBy/bTb+AA7t5pR+544gGeffoZ7nz0/q3872zh0JqKcdjLV/Po/hexe9kOIDLxdo4Ay0RoGopbR3MbqLkBlExbVTUMduw/jM9HvM1J153PXucfzZQzb6Z753LsSErO8hUEUBQ1s1+9KLrGyy+/zAEHHMCBBx7IBx988F9lJdGB/350tEo78KvhOA7Lly9nzpw5zJ07lx9//LGNqLW0tGAYBiUlJRQXFVCS7yEUcKNgoditKE4cRfOgqHLg17YdlqysY+6ijXi9PnYa0pu6umrqGyJU1baiZpIOUmb7w9PvUbjnnDxOnpgnI6xUDzhJqmrjnHJrFas3WrxxSw/6dw9I0pY9FjV7J/D3A09niC2FZEUmEgswciA4AByLeOMyZs6azWdf/8BnX85nztzvURSF4uJiOnXqRKfsbEry8ygpKKBTUSEFObkEfD4Cfj8BQyfcuy+h3Bx02yE1eyZOSwvy7CQgncaOxwCFddEoT3/6OU9Nn45p2aQtq83iQNc0Lj3tVK6bNAmtoPC/YrZtE+655x522WUXRowYsd1lrr3qKhZ8+w2v3X8fAOnly7BrquWMm6Zx27vv8+68eXwx6SKM7GwUrx+RiCOam5jx40IOf/Z5PjztZAaVl8mTsm2BZbH/08+ye4/uXLLP3pBISgWpokAwKOecNB01J1smIGTIpV7WDaOnnGkUto3T2Ii1Ypm0GFFVZn37DUdcfxOmZRFNpQj7A8SSCWzHwe1yEd+G9cmgQYPo2bMnb775JjsNGc67T75MKBwgVdnCjY/dzZPvvMjLf3uIoZ16Y0dSYNmSRCVMhGnjpCwUl44elJm0z3z5Nne+9wxTr36cHl27YRSFsZvjuDplgaJg1kQQaZvz7rmGdRvX88pfb0cxdJkRmjRl1JQj0LN9aJkEBQBX1xyc5oQMcE8mmfzILXy0cCZ/P/JqBnaW7dxN24OioHl0FLeB4tMzA/sGTiyFURhE83toaG3ihRlTeeLN59E1nb+ecArnX3MpXq8XuzVJZPpyRNLCqo9iNsURKRPHdBBpUyZKGLpMEnbraEE3is+FqyQL1efC6JSN5tExqyPsMHE3Vqzbvhm2gsI5ww7k4pFHgaa2CQ/QVFSPgZ7rxygJo/rdqJqCYwvcZbkI0yK5oYm/TbmP5/7xJk+edzN77LwbAFrQjZ4bwCjZLEQBiMVi7LXXXuTl5fHGG2/8ywRaHejAL6GDuHVgu2hubmbq1KnMnTuXuXPnMm/ePCzLYocddmDYsGEMHjyYzp07U1xcTElJCTk5OdIeoWk6woqB2SDnyeIrpcGt6gJPl3YWCmmjBz+uTvHN92u4/OrbiMaSP7NFMv5w7uNF9O/mlc9nZIGRB1YTjp3iuqfqeeDVSp6+cXcOnrgnSv6+KL6eKNrmX8TCMaW6VDVQtO0rNVOpFBs3bqSyspLKykrWL/yRyooKKmtqqayppq6xiVg8TmssRjRjAQFSeRr0eskJBikIh8n3+ygM+NnY2MislatpiMXQVHWbggWvx82tl1zCmcceA4qK1qULqve/y2NoexBC0LNnT2654XoO3mUXRDyGtWEDVl0tIh5j0foK9rjldj688Hx27FIqOa/LjWLbNNTVsuvd93Hu6JGcsfNOsoomHLAsZqxewzGvvMYPl1xI2O+XvnseN+QXoiXimbzTTBXWcKEVSLGHa/CO7drRTiyGXbEOkUpirVmLkyFpC9et5+i77qGioeFnX59hGFx88cWMHz+eKVOm8PDDD+PxeLCa4qQr5MzmYy//nWvuu4UnL7mNcWU7IhyB6tWlgLM1hZ1Mo7h0tIAHYTtofhfXvfwg78/6hKlXP05Jz3JEwkTL9aOHZHvXjqeoX7KeXScdxUWHncqxQ8fjxNI4SVOa5VoOqqGhBjxoWT6MohBato/0ilpsA069+3KWbljN88dfT4kRBkcgMmQHy0YoSiaiKtN21VS0oAcB6CEPRkFImvwaKmphkPc+/4i7pzxKLJXg2WefZaeddiI2v4L4vAqEbUvj26Ql/fiSFhgaii79+VSv9JrTAx5cvQtQVRUt7MNqilJfV0/PY8b8Yo4uQGkonz27DmWXLoPYqXM/srKy0IIe9IIARp70DtRCHpxoCqNzNnZDDDtjrvvKF+9xyaM3c8WJ53HWgcehug38w8rQAltXk5uamhg7diwDBgzgueee+9NnXHbg/wc6WqUd2C5qamp44IEHGDp0KCeeeCIPPPAA/fr1+1nzVpGqQaQbJFkTZsa21pHKTT1LEiY9IL98NR8uQ2PojgMYNuZ4zjhhHy6//Erue+YLLGvbKkxdU+hTpiGNpUwpRDCyITAQ1Y5y/eW57DiqiZMvepLZ63tzw0098Grt2xiKaoCa9Yuv3+1207Vr1zbrDGe/fbErN2x74axsUoEgrY2NNM7/npbKChpaItRUVlJdW0dNXR0LN1RSH4sBbFdl6jiClmiU5kiErFAIp7ERtdP/D+L2zTffUF9fz4SDD0H3eBCOA1nZ8P1cUo7DOc+/yFn7jGfHzqVSnajrkIghPB7Off1NBnYq4Yzdx0IyBZaZmWHTuPPrmZyxyyjC2Tkofj9qOCwVupqGY+gyeULTUHQDNSuMlpMr59Z+UiERKXnitpuacDIebJqqMrhrOYsfvI+Za9dxyPU3kkilcLbx/mmaxh577MHYsWPbLFIAtgwlPeOoE8nPyePkqy/k1lMnc+TgPWXmaqbChKaSrmpGURXsSAo7kuDy3Y6lcsMGjr3rEt695Wn8Hm8mHF6XVauURTgc5u5Tr+CUey9n15zedAoVQFruQ8WrItI2Im1idM7CXZyFWRNBCbi48em7WVK5mnfOvZewaeCkLent5jjS9w0hDXd1FUypBMWWth6a1yXjspriGB4dJ2ahNMU5cNReHH7a8dz76IOMGzeOc889lytOOR+jKIQVTaEmTBxFhWQKkWl3CycjHLBsme+aslHro3jK81AyyQZffv8Nhm6QNtMoioLX4yWdTqGg0Lu4nJ26DGDHTj0pCxdR1VLHVyu+55YZz7OuuZpdygdx+f6nMqx4CACqR0fL9qGFpIBik+Groqscd/Sx9Bs6mCMvPJW05nDpaedtjun6CbKzs5k2bRrPP/98Rz5pB/5t6Ki4deBfCie+DmpeRdiptnkiYSelqtSsl9UxzQ16CNylcuA70A8le1cUVz5OqpZXn72DE8+9G9N0tkpAGdHXxcwnBwJCCge0EOg+cBei5O2Hkj0aRVFZvHgxgwcPxrIs+vTpw1577cWoUaPYaaedKC8v/6e/ZO2a6vZmu8gsTq20M4qqtuWa2jXVOIkkTkMDdmM9IpEE22LR+grOfPtdltfXk7K2nmVTFYWsUIjGlha6de7MjgMGMGy33Rg6dChDhgwhNzf3n9ruPwPOOeccUqkUTzzxRNttwnFIzZzBHQ8/zPPTv2TG9dditLZK0qYoCMvkyVnfcPfH0/jygvPIy8mRRCwl/fu+3VjFoU//nYW3305uQb485lyZ1ltm7kgkEvIxqoKWm4/Rtx9aYdFW2+e0tmJVrMNas0Zmy/4EajDMqpYm9r1kMnUNDaTT6a2WOfnkk7nqqqva+eQJ2yG5tLotsxRg+rczOOrCUzn5oKO58rxJ+AN+VI+B1RzHbopjRZLSYy1p4iRN0sLiuGevwePx8MKV9+IvL8AoDmO3xEmtqsesakEIuPCpm6ltqOOZo65GDciweNXnkkP6aQtXSRjfjl2woyleeutVJt17PR9c/jjdsooxNzYjTFsSaiFTBBRdk+NidsaYNjPjqbhcaGGPtBlJpFF1FTQNd5dsXGW5qG4dV0kWy6rXcuKJJxJraeXRa+9kUG5XrNoIjungxFKy1WvaKG4DVZeRWyiSLLp7FeLtJRWrdjTFjfffzl2vPUG3kjJ2GTGSnQYPZXBRD3qXdsXdKRuzpoXE4mqcSEIKJDQF1euiMt7IlC/f4YnpbzJxxB5cc+oFlPXtgZ4XwF2eC44gtaYeqzkhZwgzTHvB0kXsfdIhPHPHQxx65gkdxKwDfxp0ELcO/MsgnDRO3SdQ92ZmhkyTxrhmA9ipDHEryAxJq9KjLTgAJThADv9mjUTRQ4j4auZ/PYX9j72dhpYk6S3m3E7aL8ATV/YC1S/n23xdIDAYxdcVJX//dl+ujzzyCGeddRYg8xK9Xi+JRIJAIMCwYcMYO3YsO++8MyNGjCAcDv/615lM4kQi0tk+IE1d2+4TAmvVSkQyjrVxI3bFepxoFBGPg2mBbeEAU+Z9z5Uff4LlOKS3ECOoqsqPU98nJxzm+8WL+X7Zcr5fs4Z58+axevVqysrKGDp0KKNHj2bMmDEMHjwYTfv9juJ/NEzTpLi4mDfeeIMxY8a0u2/xrFkMHzeO96+/luFduuC0tEjC4MD3S5ew3wMP8/q5ZzGyc2dUrwcSCZxEEhQ44tnnGditG3877ljUYEBWzTLtVcXfvlKphsKoefkY3bpvcxuF42CuXIG9aiV2S3P7O1UNNTsb1eOhpaiY/Y8+hkWLFrWLGOvduzfDhg3j9ddf56ijjuLyyy+nd+/eAFiNMdIb2j/nwhVLOPeWy9lYU80dd9zBYQccRHq1bMc68RTpmlbS6xtAUVFdGjHD4YC/ncbQAYN55KZ7ZHVKQGplHWZDDCeRpnJjJSPvPYXvz3yKnKI8VK9btvh06WemFwXJ3m8gs6ZNZ+9DD+CZs29iTO/hOIkUZlVEZncqSHWmJWTFXFXk7ZuSBRRpnqtouiSHjkANedD8chZMC7jR8wKggKdHAY6hcMtV13PLvXfw132P4sK9T8BtuMCyMetacZImikvn9k+m0K2oM0fstA+qW8fIC+DpI21WhBCkq5pJxZK4DZecU3PpWM1xFF2V83tAakMjVk0rdjKN5pHk0mlN4ZgOlbE6bnr3CT6a/QUXnXcBl155OYHMDKmTskgur9kq1e7Nae9z9vWXMmv2LPpllNAd6MB/Gh3ErQO/G8IxIboYEZmLiC1FtC4hlVZwuwSK1SxbmnYKsOVcmp4Ful96snm7g783mE2AAv6eMli+5RsaW9IcctrjzFncRDItMDR5/nnp+i4csFsRYECgr6zeectQig5FcZe0kTfbtunSpQsbN27c5na73W6EEHi9Xpqamv5lv6id5mbs6o3Y8QTmooU4rS2IlghYlpy1ynzk6hJJJn/4Ee8vXoK5RTZfw5xvCfrl7J1aUIiWI6tsTU1NzJs3j++++46vvvqKr7/+GkVR2kjcmDFjGDJkyC/mkP4n0NTUxK233sott9zSbg7IcRx223VXhvbowR2TL0W0tGA11CFiMVqamxh91bUcv8suXLLfPiiGC9Xvx47FIBlnXmUV+995N4sff4T8gkKpnrRthKYBKgqb96mi66gFRehlZe2I9iYIx0HEYjjxGOayZTg1VTJnEyRpC4VkSzMnF9fAwaRsm2OPPZapU6eSSqVwuVxMmjSJG2+8kZUrV3Lrrbfy/PPPc9BBB3HFFVcwaNAg7Hgaqz6KSFkoLg09N4DiM3jhhReYPHky3cq6ctsFV7Nj34Ft25VcVYsTTct5tywv9VqSPU4/lNsmXcuE4eNkW7GqhfSGJkTKQjgOez54NufudCgT+o1Gy/W3zXSpLg2jUxb6kBKG7DSc4/Y/lPMOOB6zNkp6QyNWrUyPUNxSuSraMkmFrLqlM6RuE7FTFFS/C9XQMQpD6Dl+md4AbcRKz/PjKskiXRvhu1f+wZl3XYHXcDPlnNvI9gYwayI4GWXwZ8u+Y9LUBxnRdQC3HXUR+Xm5uLrkYuQHpOBCODiRFE40hZbrw0lYCNPGqmsFRcEoCqK4DfmcLYlM9U7JxAwL3F1ycZfn8u2yBVw8eRIVFRXcfPPNHH/88aiqit2alPvRzBw3Cuh5AW54+E5efvllvv32247EhA78KdBB3Drwq5FOp1m6dCk//PADCxYsYMOGDUQiESKNlUQiLbS0NBOJJolEU9i2IORXKS8yKC/SKC9x07UkQHmJi66dAnTv1h2vPyyVn44JyTVgp8GVI9ufIgF6Dla8ksl3fcPDb9ZhWvDoRSEufqSVa04q5qKjC1B8XcEIgx5CydsHxVWACPRHUWSr7ZFHHuGSSy7dZvg5SPJ28803c9FFF/1L95XT2opVWYG1dAl2pAW7rg7SaWn1scmEV9NAN/iyspKzX3qFmoj0hIr+MF8q9/wBtE6lbR5SP4Vt28yfP5/p06czffp0vvrqK0zTZMOGDb+pgvifxAMPPMC9997L/C+/xNMaQdg2dlUVjmVy7A03EovFef38c9AMQ5roZuVIJSlw6PU30ru0lFvOOK3t+RS/HzWUhRIK4dTVIRJxFLcbtbAIPb+grX26JexoKy898SQDe3anX48eOKk0TnU1Tiop9/2mjF0h0Lt2Q8vNQw2HEarKlVdeyd13340Qgg8//JA99tij7XnXrVvHHXfcwVNPPcW4ceM47rjjmDBhQluVZ0u0trZy8w03cu/99zF2xGguOvksRu04AquuVSYeAEZBENXnoqquhqK8AhACsyaCuaEZsyGGSMjW7Q0fPklDawt37XcOWrYPI8eP4jbQsr24O+dw7Yv38/WMr/nq0y8w1zQSm7uO9PomnLSJsITkOobWZtchMjNoWA7tTOocAYaKnuPHXZqNmuWVlXNAy/KhZ3nRwh7cZbkkV9Zi1kaJrKvh1FsnsbK6ghfPuIUSd5Y0IRZSENGUinDpBw+zYONK7jvhMvbcbXdUr4GrKITiljOJiqbgpCxZIcxsmxNPI1ImWrYPPezFiiURcUu2mtMWeq4fV+ccVJcOiiSWb/zjfSZNmsT48eN5/PHHUVVZ2XNiaXAcKbjQNRzH4eCDDyaZTDJ16tQ/5Q+jDvxvoYO4dWCbiEQifPfdd8yfP7+NqC1evBi3282gQYMYPHgwXUrzCHkdQq5mggEPIaOJUMBNSF2Hn43U1DWxtjLBmmqbtdU2a6oFa6vSrKlK4Thw2Lh8TjyggN36xVE0QyYf6EFAlVYfAIoHEqt4+ZMGXvmklbduzGHOcsEhV9ez9065PHzVMFz+fFnF8/eBVDW4ctuqZwknj5JBpxBpjW3zdQ4dOpT333+foqKtZ55+L4RlkV6+DNHYSGrxQll1SydlO8ZxZPnQ7UH1ebE6l3Hv9K+YM28e7z3/HEowiOIP/KYqoOM4LFu2jL59+/7LX8sfgfXr19O/f3/eeecdxo0bhzBNnJZm7MZGHn7ySe54dgrfvv4auYrAbmhAcblQgyG04hJmL13KfkccyeIXnycv0xJVXC7UohKMLmXbJGjbwpoVKzjjpJP4YdlS/n7bbewxaiQg3zshhBycT8QQyTRqbi6qa9NxqaKVlqL6AzzzzDNcc801LFu2DJ9vc3s2nU7jcrmoqqriySef5OWXX2bNmjUccMABnHnmmey+++4A2KaNbdrobp2KuUt48PFHeeLVKfTu2oMLjzuDvXvvJKtaJeHNx4MCri45tM5aTXpdI05rEoTATlrMXPE95755F3POeQo17EEvCuHKD6Hn+plft4p9jj6IOXPm0LdvX5IrakmsqiWxoFKG0luOnGcDcEmLDieexkmZW8y5iUycGChuF3pxCD3gkQP/GaWrnu1DC8s4ML0gSOLHjXJWryqC2dzK5U/fydT5XzLl6GvpFy5F0VWEqoAt/eZe/vFT/vbRUxy72wSuOvQMAsU5uLvmo2gKGBqp1fVSnWraKIqsrTpNMZnJGnDLzQt6UT16W/tT0VSM0iy5DxXw9iliY201u+22G+PHj+ehhx7a7uctEokwcuRI9t13X+68885fd4B3oAN/EDqIWwcQQrB27VpmzpzJjBkzmDFjBgsXLqS0tJQdd9yRwYMHM3jwYAb1KaVrsQJWPUQXSaIlHJl6kFgJVkxaLqSbwInLrFFhkZlyBlchYCCsJn5cC3+fWs8LHzeQ5Vc4cV8fJ+ybS6fCIKg6aIFM3JVLrk9Y8n/HBEWnskHn4Cur8XlVXrtjBPkhQHPJ2TcnCd4uMkhecXPDowu49YHXSSY3D5Pruk5BQQFFRUXMnz+fPn36sPvuu7P77rszZswY8jaFmv9O2NVVOM1NmBvWY1dX48QSiHRSmsF6vahCQcsvwD12d7T/Is+23wshBBMnTiQ/P5+nn3663X1z5sxhzJgxTH3+OUYPGYLicqFkZaO43W3Vx3HjxjFq553520UXybgsXZUzbIHgrya78XicoTvswNC+fbnnysvJCoXaL6CoaN17YK9dI1WsP30NaRM1Ly/TMgygBAK0RCJMnDiR+fPnM3z4cD799NN2j1m4cCGvvPIK3bt35/hjj6epspl4c5xES4J0PI3L6yLk1rDTSZ579xXuf+5x+vXozcPX30nnghIAVJ+BURxG87tJrqql5R/LcKJJWR1LWXy1Zj6T3nmA2Zf+HdXrxigK4e1bhOVR2PmgPfnLX/7CZZddhpO2aJ2+AqsxhlUbxUmZOKaFSJiga6geA9WtYTbHcSLJNg84aearSHLk92Dk+FB8GW+8PD+KquLqlIXq0fH0KkQxNBKLq0hlMlABrFiSe597jAc+e5lHDrqEMX2HS4IlhCRjHoN1yTrOe/VO4skEkyeewsSDJmIEvKTWN2JubJata4+BEGDVR0EB1aWjGBqq3y3b5igYRaG2Y0LPC7TZehhFIYyCIOvWrWPMmDEcdNBB3HPPPds9flauXMnMmTM54YQTftXx1YEO/FHoIG7/w2hsbOSMM85gxowZ1NXVMWTIEHbZZRdGjRrFqFGjKCkpaVtWxJZDfBXCbEQ0fS3JEQqkI5BYIeOmnIQkVnY8ky+6qbViy2V1P6ghcGIyTkpYpOIR3p8V5+kP43w2L8keQwOcPjGLCbvloYiktO3QFDkb5mQGwVU3OGniVpBTbl7NF3PqufXsMo6f0BVVpGS1zlMKWhDFXUBjPEynYReRTm/OCQ0GgyxcuJAuXbrQ2NjI9OnT+fzzz/n8889ZtGgRAwcOZLfddqNnz5506dKl7ZKbm/ubqmDCcXDqarEaGrCXL8FJpjJxPDqKIoPk9V690ItLfvnJ/h/h9ddf58wzz2Tp0qXtlLJNTU0MHTqU008/ncsuu2ybj/3000857LDDWLNmDVlZWf/0Npx11lksmDOHT55+crvtL7WgCLt6IzhSCEAsJluKsSgIB62wCDUzj6h4fJx45ZXUNzRw5513Ulpaut3tE0JQu7KOdDxNS1ULtrlZoOIOuAlk+8gtDpEUJpOvuYKXX36ZJx97gsMPO0y2MbdAZMZK4vMr2sjVg1++xo8bV/LUWTe2eZf5dujCBddcynfffcfMmTPRdR2zIUZ0xipEymTjug0sWLGY5qYmIvEokVScVidJJBUn1xOkb7CUfnlldMku3DzAb2hoHh2jWBraOnETPcuLnhfAKArh6pyN5pckKbm2gcQPlfK1mxZmbRQnluL1mR8x+f2HuHnC2Rw+eJy05VAUVJckXyLbw5MfvsyjH7+MoRucsd/RHNZzVzymiqprmZk7RfrLqYrMF/UYsvJnO9gJE1dpFmqmzaqFvejZsiqq5wVwlciRgtWrVzNmzBiOPvpobrvttg4FaQf+1Oggbv/DsG2bO++8k5EjRzJs2LB2bR5htcisUEVDaAFomiFva/0BUlWSRDkpiK+VVTdVA3QZDi8ylTHVALRM+Lsib9N9Mq0ARapNrSiINCgaFbUOU6aleOTtFnp1cXPv+YUM6pEjB6FRQPUC6YxVgQ16NkIP8vYnq7jo7qV0LvLywMVdGNwrG3xd5WO85ShGNuf+7WOefOFj0mkLwzB484U3GTZoOIqq4A17CeT6UTVZzamtreWLL75gxowZrF27lvXr11NRUUFDQwNer5fOnTu3I3NbXjp37rzN+Bth2zjxGHZlJaI1Ik8y/iBaXh5qbt7/1ImiubmZfv36cccdd3Dssce23W7bNgcccACapvHuu+9u08xUCMHIkSOZOHEiV1xxxT+9DXV1dZSUlLDw66/pFg5ucxkhAEXB3lCBMNM4ra2obg9CVSVxA7SCQvQtfuAMPeQwrv7b3zj88MN/dv2JSJKGdQ0kWhLEm+Lt71Qgq1MW/iwfeV1l5feVV17hr3/9K6tWrdoq2NyOp4nOWk1yWTUIOOWpaxnSrT/nH3Iiel4AvSjEi5++w+U3XcucOXMoLy8HILWxmcT8DTiWzQeffsyNrz9K0PAScvsJef1kZWcTdPuoaapj4boVLK9bj9dw0y+/nH5FXelf3I1hfQYzYKcd0bwuUBU8PfLbqoHttjGaJDpzNU7Swm5JYMdSOJEETtLky6XzOPOtO9i/3y5cO+4k/AEpctDCXhSvAZZDsrmVqQu+4vEZb7Gqaj1HDdyDk3Y6gM65xTIhYpMPm9+F5nWhuHQUly7THQqCqAEPikvDyAugBeXn09UlGz1r83feihUrGDNmDKeccgo33HDDz75/HejAfxIdxK0D7SCEg4h8D9ElYLcihALpSrDlDA2ReZCuAtySrFnNmeqaKklZukGSOuFIuw7V2FydQ5EKUFcRuAtk/JTZICt0IJ9D0YjE4aYXkzz0ZgunHFjGtScXkxN2yYodtgyRtmPg7tzWio211nPTU6u5/6V1nHZQCdedtwvhkBc8nVBcxaxv8NNjxCloms7lF1zBqced2u51u7wGed3yftb5PBaLUVFRwfr169suP/0/nU5TUFBAly5dGDhwIDvvvDMjR46kX79+bbYdwrKkSMEwtis8+P+MM888k9WrV/PRRx+1I6yTJ0/m3XffZfbs2dsVV7z33nuceuqprFq1aptD/r8WTz75JE899RQzp0/HWrO6XQbtJoh4AgwDu6YKp6lps8rUsiBToVPDYfTSzm1mvudcfwOB4hLuuuuun11/pCZCpLaVSHUEM7l1GzZYEMTlc9Gpf0lbWPvee+/NLrvswrXXXovVksBuistUBJ8LdJXE3PWYda0cduu5XHDACew2aldcJVnMX7WY8acczjvvvsOee+7Ztg6zOkJydR1WfQw7msSqi8r0ANtGcekYpdmouoYdSWA1J0hEoqyq38DCDStZVLOGxQ3rWFC5nMF9BvDXY07mkAkH4u9RKLfJrcvA+U370hEklkqPtdTaRqx4EqchjpO2sZvjbIjUcf7U+2hJRnn44Evo37d/mzmuHTdxkmmZl+o1mD3nWx7/+i0+Xfkde/UYzl8G7cPwot4oqoLid6Fn+1EcR8Z1qYr836WjGiqe/iWoLh3VrePuWdC2bzdh6dKljBkzhosuuojJkyf/iiOpAx3496ODuHWgHZzWRYi6jyQ5syJgNoPZKGfU7BikKmXlrA22bH+qBmh+sFvkcsKR1h+qS1qBCEs+h+bJeLC5pe2H2QAitcXzCcAAPciy6lwuvHsxc5cluOG0Ik45uDtaoFwqT12dwFMkZ+1SVdJORNgsXZvg3Fu/57DxPTnjyL7gKUPx90Yxsjjx/EdJpjzcee1d26xwZRWHCeT982TAcRzq6uqoqKhg7dq1fP/998yaNYtvv/0WVVUZMWJEG5Hbeeed/6vNdP9ZzJgxg/Hjx/PDDz/QrVu3tttffPFFzj77bL755ht69eq1zccKIRg6dCgnnHACF1xwwe/ajiOOOILBgwdz5ZVX4rRGsKuqZDt+E1QNYZkoqopVVYVdU912lxONofq8UgyRlYUaDKFmiOaL773PA6+8ypw5c352/dGGKM0bW7ZL3EJFIVweg5ItiNvZZ59NMBjk+nMmYzX+pEqngtWUwG6OyxSCzPFd19LAHpOO5Zxzz2XylZe3e4iTMEmuqMWsiZDe0IywbJykiZOyZJJDl2xwBHZDTKYpKApOIt1mO6LnBkh28vLiJ+/w+Ct/J5FKcephx3HSYcdSXFCIluPHKN48X7bJy87c2ExqQzNWYwy7ISpH2xDYtsN9M1/lybnvc91Bf+Wkg48FR+BEU9ixZEYRqmA1RBG2w9qNFTz7/Ue8+uNnlARyOW7gXhwyYAzB7DBoCgoKit+NURyCtI0W8qD63Xh7F+Iqzd6q5bwJ8+fPZ/To0bz00ktMmDDhZ9/HDnTgP4EO4taBdnA2PIWIzAc7KitsZi2YrZCslK1RRWXzkIsi25yqR5I2IxdQIV0tyZrqki7owpGtTTUAuhtpzJuWbVInU8kTDnIWzpEVPD0so7EceP/rWi5+oJpwQOf2C/qx++5jpOmuEQZFRbTMlUIIsw4cE2G2IlQ3qiuEEhgkLUM0H05wONVLm37qsdkGt89Ffvf8f/k+tSyLRYsWMWvWLGbPns2sWbNYuXIlQ4YMYfz48YwfP56dd975fyKkeunSpcyfP5+jjjqq7ba5c+cyZswYXn/9dfbZZ5/tPnbOnDmMGzeO6urqdm39fwajR4/mzDPPbGvVCttGRKMI20Lx+hCxKE59HQBOIoG1dm0mEkvIEHuvFzUnG0VVUXxyIN+Jx2mIxel26GEs/eEHuvXps93125ZN9dIaEi0JYo3tFc+qoZHdKQtP0ENe+WYPv549e/LIfQ+y/8Bdt3o+YTuk1zfKsYLMAW7ZFodccwb5efm8/o/35EzYT5Da0ERiwQaEncknVeQMmqKpKJoGKtgtSYTlZIx8ZX6p6nPh7pqHFvKiuDTSNS18/PmnPPLS03z53SwO2ms/zj3uNEaM2aVtjgzAao4Tm1dBbM5a7JYETibqSkEBXUH1uPimYQVnP30DO+04jPvOuxZvnZUx/pXecnZLXGaxmg6KBvFojHeXfM2U+R+ztqWaQ/uN4fhh+9G3Zy9cpdm4u+ahegxZ5dY0PL0L0Xyunz0+Xn31VU477TRmz579X6PS7sD/DjqIWwfa4DgWYtUNkFyfucGG5DqwE9JmQ5gZUUGGiG0KYVQALSzbn5uqbmYENJ9sgzoJQJNVNkWTqlHHkhU3LBAqKJl8RIRcRvPK1qgj15W0NO59tZk7nq9kxwGlXHfFWew6rItMWjBbILEG4SQhsV4+XjHAU4Li6wah4ZK8oVO5aNtmvPDHEbdtoaamhmnTpvHxxx8zbdo0kskke+yxRxuR2zIy6f8zampqGDZsGOeddx6TJk362WVPOeUUHMfhmWee+d3r7d27Nw8++CB77bXXNu+3GxtJbljP+qoqunfujF1VJVvcTiZBQFWkKawjwHGk+S+g5eZx8IUXs9OOO3L1LbegeDzU19ezcuVKdt5553briDcnaKxooKUqgpWSwhlFUwll2qT53fIwPJvJ/I8//kjv3M5Y9Vtb29jRFFZ9FD3XjxNPYydNLnjob8xZ/iOfv/AeuX07t5vn2gQnnia2YANONIWwHdlGDMl5MLuuFWELFJ8LuzmOHUllWoz5eLrno3rl7emKRsyaVhSPCy3oZkXFGh5/5VmmvPUyZxx1Ijc/dBdu7+a5z8hXK2iduQonmt48m6aA4nOh5Qdx5fhpCcNZN09m4fIlXHfMeRw0ai+c5oSMympNSouShDQmxpH2JALB/JqVTJn7IVOXzmRYjwHcfP6VDNul/X7/6Wzb9nDllVfy2muv8c0333QY73bgT4UO4vb/HLNmzeLee+9ln332Ye+996ZTp07bXVYIG2f5lbL1aMfkJZEJVbcjsqolXTnlX1QpPFBd4O0qiRkCggPlLFvrj5DcAFYLoMg2KZmKndkC2PJpFF22S9vIoC7n54zszfNymh/0MM0xm3tfbeK+5xez05DeHH7E0QwfVIqCCcnVqIqKaoRQjSCaqiAcsJwwOZ1HkxXKonFDE47ttAkRtkSoMESoYNuD6n8kHMdh/vz5fPzxx3z88cekUilmzZr1b9+Ofzccx2HvvfemoKCAF1544WcFGl999RW77bYbl156KbfddtvvWm8ymSQvL4/Zs2czYMCAbS4jLIsXH7ifmx56mAXvv4sTieBEWuSdmo6anY1oacGJx6V1hm6ghMOoPh9/f/NNbnjwIQ49YAIfTJ/O8uXLUVWVVCq1lXrVSltEG2JE66JYaQuXz4U37CWYF0DfRrB5ekPT1m1SwG5NYjXEcJWEsVX467UX890P8/jgyVfoVFiCqzQLPce/1eM2tUu3dbtZE0ELedoeJxAoKOj5frRsP+aGJpy4iVndIsmkAqrPhVGahUhZLFmyhFNuvgSX38MLL79Erx49cWJpWj9fRnJtvYyiSpiZH36a9IHL8eMqDuPpkY+ndyFTXnyeKyZfRpe8Em74y0XsWNoLJ5rCMS3sliTYNk464z2nqqiGinAEDclWnpn/AY9Pf4NJp57LxSef3bbvPT0l6fwlOI7DgQceiGmaTJ069b8iWq4D/xvoIG7/z7F27VqeffZZPvroI7777jv69u3bVtXZddddt1JA2usegPppm5Wh6Xp5Pd2CbGMi/wpHEi5Fk+a3eftAaEdIrgUjC9KtkFgCrcvAbgbFLStwiiarFlZLRk2qAqokbk6m+qa7ZMVM80vxg7BlOL3qliTRyKEhqnPjE8t44LnvAdB1TZ74hZCdIiFPNELIL+AeXbrzxsNv4Q64ScVSuANu/NmbT2S6S6egR74chjZtVE3dJrn7d8C27f+Jk8Qdd9zBY489xvfff08wuH3C/OGHH3LQQQeRTqe59tprue66637Xel955RWuvvpqli1b9rNkMbJhA4U9ejDrtVfp37MHTrQVEY2hZGWjer2o4TB2Swt2Is68Zcv5bNYs3v3sc75fvLjtPbQzgoZu3bqxatWq37XdIFuN6fVNW90uTBuzpgUKA5xyxXksWbmc9x5/ieJ8GdLu6VMoZ8S2geSyGjnIvwXMulacWBqjONRmpQFgtyawoylUvxurMQZJC8e0ZPoByPxeTUHPxGwl0ylueP4Bpnz8BjefOoljRh+AE01i1sVklS+1eb5PcWm4uuTgLs/D178YV6mscrVGWrn1mhu497EHmTBuH64//3KK/TkkVtRiVjbLFqjI/AYEMDRQFYxsH8t8EU6/7iKC/gCP33gvffr3xfMbquotLS3svPPOHHDAAdxxxx2/+nEd6MAfiQ7i9j+ExsZGPv3007bKTkNDA8OGDaN///4MGDCAAQMG0Kekmbzoc7La5lhgNUpFqRUDkUTOp23KLNSR+TF5EB4q1aJWo1RyKhoiWQORb8GKS/HCppOk6pfWHlZdJrvTzNiCZL7E9YBsvW7aBsWRpE3YkjD6e4MrGzQ/lz9cw50Pv8HPHcZuw+DMQ0/kyANOxRv24M/xYSZkdcOX5ZUVjvwgiZYErXVRbEu6sXvDHsLFYbRtzAZ14Pehrq6Ozp078+WXXzJixIjtLvfKK69w/PHHY5omqqoyZswYPvvss9+17vHjx7P77rtv1yduSxx28MH0696day44XxoAh7OkElhVpXBh7Rr+dued3PjQw7hdLlLp9Daf57jjjuO55577XdsNUp2ZWlUnK1U/QcpKc8IlZ7J+4wbeffRF8jMZt3q2D1fn7bf67GiK9NoG2fbNwKxqactTbVsukmir9iluHbspLlWoIH8wpS2cWAonaaEXBtGyfDixFNiCz76fyXnP38qIrgO4Zc/TCXuDkmSZdiZWS65bzfcTHt0D/7CuaP72VbF1K1ZzxZVX8vbUd7nwggu5+IxzsT5fjVUXzWwDsgngMaTRrsfA3TWPRDLB3x68g6ffeJ6bb7qZc84792fV4z/F8uXLOeKII/jiiy9+l29gBzrwr0IHcfsfhRCCJUuWMGfOHBYuXNh2qaiooDAvQP/uQfqXG/QvV+nXLUD/zhZhb0ZIQMZHTXXJKpoeAF93WSETlvRO85Yh0g3S981qlRU2Rd1sEaK4aPuNbMchWZFRqzpyvg1dCiTsJGgZuxEcWbkzMpYi/p6QNYp9jriaL2f+SNq0tvlaA14vb9/5Im53Pp6wF3+Oj2B+EN2lU9RbViQita1EaiJbPdbwGBR0z9/KNqADvw/vvfcekyZNYunSpdtd5vHHH+ecc87BNDeTFJfLxeWXX86ll176TwkU3n77bY444gjWrl3bzmB6e3j11Ve57rrrWLRo0Tarc3ZDPVVLFjPi0MOpqa/Hcba2FfH5fNx111389a9//c3buy0I28GsasFuSSBsgerRMYM6R5x8HPXVtbzz8PNk+UMouoqe60cv+OU0CSdpYjXEcBLSdsNJWYj0ZpWtEAKzsklmmeoqiqaS3tjcRriEaeLEzDZPNTXkAU2FtC2jtNIW9a1NXPzO/SypXsOzB19Jr6IyOZuWtmTUlgL4XPh6FuDpVYi3fwmqz4XVEMWJy+3Ssn18v2IRF154IZWVlTx52wMMtgpwotLYWnFpaAEPqtcgMKobiq4h0haqx+Cr72Zx4okn0q1bN6ZMmfKzYyNb7R/H+U1krwMd+CPRQdw60A7N6z9n8cLv+XHelyxaspxFKxtZtKqZmoYUpQUG/bt66dfNz4BuHvp3z6ZfuYLP65aGt4oBWgjFnd+mUMNs3Oz1ZuTJ1AThSELmKZLXU7XSK85slnN0WkgKGlSPnIXTg7JaJ8yMrYgB3jIIDkYNDqShMULfUadT37g18VIVBU3TEAJyw7nkZedRVFhEaZdSCvOL6LNjbwoLC4lWR7EsG8dxZNqBENi2jSMcArl+3BlD0S1PgIqioKoqRUVFlJWVkZ+f/z9lpPt78OOPP7LTTjsxbdo0Ro8evdX9d9xxB1deeWU70gZSDdrS0kJlZSWnnXYaZ555JmVlZb+4vqqqKs4991w+++wz7r//fo477rhftZ2xWIz8/Hy+/fbbbc7DCdvGXr+OZUuXsvPhhxONbT1/5nK5mDlzJkOHDv1V6/y1EELI1qSqct111/HJJ5/wwQcfyLZzWyzVP3c8OgmT5MraNoWqMC3SlXLGT8/xIRwhZ+MEYDs4SRPVY8j8UOGgCHBsG6c1Y5i9CZrCnZ+/wAs//IMph1zJgKLuYNmZNBEV1eNCz/Kg5wfx9ChoM8vdEnq2D71TmPvuu4+rrrqKc08/i0kTTkJLSvKnZfnw9i3apgChtbWVs88+my+//JJPPvmEHj16/FP7pwP/nUgkEnzwwQfMmTOHuXPnsm7dOurr64lEIgQCAbp27cquu+7KqaeeysCBA//Tm7tddBC3DrSDSKzHqftYtjiFhQx891JfX8+ixUtYvDrO4nUWC1e1smhlC02tFt07eRnQp5j+PfMY2LecAb0K6dEljK45m7NMnTi4iyUJUzOWIFaLrL4JB9J1kKqnreImTFnNMyNyGXeBJHF2TKpSXQUQGorq6w7AV7MXsuchV2Ba7atu2aEgr978PA2RJA0t9TS0NhITMSLJFmrra2mKNbGxciOpZEoKG1RVRlFp8rqqqGiGhpbxfPrpx8W2baqqqqitrcXr9VJWVtZ2KS8vp3///uy6664dqrRt4J577uGqq65C0zTKy8vp1KkTqqqyePFi1q1bt832d5cuXVi7di1ffPEF999/P++++y55eXn06dOn7VJYWEhVVRUbNmxouyxcuJCJEydyzz33UFBQ8Ju28/DDD6dv375cf/3127xf2DZOYyMzvviCvY49lvRPyKau68RiMVyuXx6I/2eRTCaxLOt3mRL/FHZLgnRlM8JypN3Ihia0kIyMErZDYuFGWZlLmQjHQfW6cZJpnEgyE27i4LTEpdNPxs5D8RqIlMWj37zFw3Pf5ZkJkxla3EvajGSUunqWV64n5MbVNQ8tsDV5c3fLQwu4WbhwIcceeyy6rjPlyWfo27/fdmf5NkEIwaRJk3jxxRf55JNP6Nev379sn3Xgz4358+ez4447/uJyqqpy0UUXcfvtt/8pf4x3ELcOtIPdPBeqXpRkS9VA8chWpeqVFbDWH+Ucm2IgHIfqJvixws+ijTksXFbFoqXrWbSiFiEEO/QtYHi/MMMG5DFsYCk9y7JQrVpJynx9MvNzCUnczEYpVkAHTMAAFOkDp4el4MFOgFkvK3LeMpTQYBQjY2LryuP6ez/g1ltvJZmUmaZul4uLT7yIfUcc0Pb6dK9Bfrd83H4X4aIQwfwgZsKkZuXWyrpNCOYHCReFtns/yMDy9evXs3btWtatW8e6devaTHiXLVvGwIEDGTNmDGPGjGG33XYjP//fYzvyZ8embNI1a9b8quWzsrJoato8nN/c3MyyZctYunRp26W2tpaSkhJKS0vbLuXl5UQiET788EPOO++8ttinX4MXX3yRO++8k3nz5v3ism+++SZHHXVUu0phv379WLRo0a9e338KkUiEZcuWkU6nKSwspLCwEL/Pj4inwRGYta3tZuvslgSptQ3YkURbqoGiKqTWNqC6dYRpYzXGZDt1UwXQpUkLj7TNcz9M47ZZL/P4/hexSw95MlV0FcWto2f7UL0G3n4lMnf0J9BzfG3ihVQqxdVXX81DDz3E7bffzllnnfWLJ1shBNdffz0PPPAA06ZNY8iQIe3uT6VSWJaF37+1ErcD/72YP38+++yzD2PHjmXo0KGUlZVRVFSEz+dj48aNzJw5k6eeeor6+npAWsLceOON/+Gt3hodxK0DbXBaf0RUvQyx5ZK4IWTVy90J3PnS4iO5AcxoxmvNAyjg74miKAhfT4ivwk42smJdM3MXVvHdgjV8t7CB+Usb8LhVhvYJMax/FrvtMpQxO/XEq9SC4oXYfMCQIgUcQMExo6yutlmwPovvVxvM/r6CSGuSb976K6rmguBAFEWXs3Xh4Ti4GDNmDN99+x1pM01eTj4fPvkhIi1IxeQMTG5ZDsH8IP5sH1mdstq+4GtW1G7TwR6gsGdBOz+t34qamhq+/PJLpk+fzpdffsnChQvp06cPl156KSeeeOI//bz/n3D22Wfz9NNPt5Hun8O+++5L9+7dKS8vp7y8nEAggG3bbRfLstqu19fXM23aND7//HOys7PZd999ueyyy+jevfuv3rba2lqKi4uprq7+VYT7vvvu49JLLyWdESqcccYZPProo796fX80mpqamDdvHkuXLmXJkiVthLeyspLc3Fy8Xi81NTWYponX66WwsJCCggIK8vMp9OcweshO7LXLWLJDWdiRJHbaxGlNoSiK9JNriEEmcsqsb5Xza4LN87GKmhmXELy+dDrXTH+GB/e7gD16DkfRVTn56nWheQ0CO3dFD8uWp0iZ2NEUwhEYBUG8/YrbxWp98cUXnHDCCQwdOpSXXnppm5nBP8Vdd93FDTfcwNSpU9lll10A2R4fOXIknTt3ZurUqX/AO9CB7cFJmsS+W0di0UaceBrV58LbvwT/8DJpovw78WsU+3V1dYwYMYK1a9diGAbV1dVb5QP/p9FB3P4HIdINsuWo+VFcsmLlJKsRlX+Hhn9IUYCVyMyUKVLBqRhgFILTBHoO6F5J3lBBz0IxQgjFJatiVrNsb5pNoGeDuxAzsoqFS9fw3Q/VfLc4yqff1FDXlGTsTuXsMyqfsUOCxFs2smB5M3OXJZi9MMry9SlMW+B1KaQtMC1BWWkBq+c8Krfd00lW49wlKIr8Aq+urqZPnz5Eo1Hu+NsdHLzPIZgJE1VTCBWE8Ia9uINuDHf7L4F0PE392gYcu/1weaggSKjw56ttvxUNDQ189dVXFBUVbWXK+r8Ky7LYc889mT17NqlU6meXvf7662lpaWHt2rWsWbOGeDyOpmlomoau623XNU0jGAwybtw49t13X/r37/9Ptz2GDBnCpEmTOProo3/V8hdeeCH3338/juPw97//nb/85S/Ylk1rTSvxlgTCdnD53QTzA3i2Mcf1R+K5557j2muvpW/fvm3t5U3X8/JkqL0QgubmZmpqatpd1q9bxz8+/gcLlyxi1LCdOGDCBCYcPJFyVx52YxwnZZJclqleC4EVS+G0JLBjadgkHnLpm9wcEZbN1KWzuGTaw9w74Xz26bUzCkKGzOf4MXIDGIVBaQgc2Xxc6HkB9Gwv7m75qFv43TU1NbH//vvj8/l4++23f1Xr+NFHH2XSpEm89dZbjB07lvHjx/P1119j2zbr16//VSKWDvw+CMeh+d0faP18GaAgzM3CmE3RZMHde5E1cdC/Jd/51ltv5fLLZUTc+++/z/777/+Hr/O3oIO4/cmxYsUK1q9fT319PfX19TQ0NLRdr6+vx+/3079/f/r160f//v3p3bv3dn9pCjsuQ+Kt1s036kEI7YhT/TbUvg2xFUiftk1eazagSesP1ZCxVq4s+b+eI9uprhIwgmA2onjK5PyZosgQeZCzbekGRLpOtjoBoYVZut7ho+kr+OCzBXz+bRUgE3uc7RyRhq5y9qmHcfc9d0vSth188skn3HzzzXz80cfS+V1RflXFzDZtYo0x0gkTTVfxZfvaRAkd+OPR0tLCDjvsQEVFRZv/2ZbweDyk02lmzJjxbye8l112GTU1Nb86tcFxHIYPH868efOYP38+AwcOpG5lHeZP/NIUIKcsF2/o30vefi8qKiqYOnUq7733Hp9++imdO3dmv73Gc9z+h9E14gPTQfW5EEKQ3tCEk7ZxmmOQsVJRXZqswLl0nNYk0xbN5twP7uXJQyaza/cdMUqy0HMDONEUetgrxQ9eAydhohgqRqcstKAHPezF3TWv3bZFo1EOPPDAtkH0X2Ph8fzzz3PGGWcwatQovv76a5LJJB6Ph8suu4xrr732D9qLHQBJ2uoe/YrE0mpZnd0edBVvnyLy/7rrH07eHnroIc455xwAXn/9dQ499NA/dH2/FR3E7U+O448/ntmzZ5OXl9d2yc3Nbfvb2trK4sWLWbRoEYsWLSIWi9G/f3/23ntv9t57b3bddVe8XjkjIpq+bk/ayIjGUhsRLQsyge2VGfPd1GbfNJnxI412VQ1chZnYq5S09dB90p7DVYTiKwNXoXzepllgNcmWqqtQPmeqUq7YU4qiSlIkWuYzY+4a9j1vPvHk9j+4HpfGe6/cxZ4HnY8TTyMcgeo12rVLOvDfjZUrV7LjjjsSjUbbbvN4PNxzzz00NDTw0ksv8fzzz7PDDjsA0tfMMi1UTf1D/PbuvPNOTjrpJBYsWMAJJ5xARUXFr67aRaNRcnNzmT59OgN6DqB5Y8s2lzM8BoU9f5tg4s+EWCzGp59+yjvvvMNLL73EUYceweR9T6QgINtLdktcVtwUcOKmFIgrCoqqSDIWS2FH07y5+AuueONBXrv4HnbaSRJzJ2kibBurPobiMdB8LlS/W+ab6gpGURjfwE5bBcYnk0mOOOIIKioqmDZt2q9qcR966KG8+eab7W7Lz8+nqqrqf8IQ+z+FprfnE/ls2c+Ttk3QVULjepN90A5/2PY4jsOYMWP4+uuvAVi0aNGfTsDSQdz+H0EIwYYNG5g9e3ZbDmZtbS1jxoxhv/FjmbBbEV3Lito/Jl0HyfWIRAXEVkJ6oyR3TgLaxbErgDsTAJ/xYrPT8nYjAFoAPGXg7SIXT9VI8YHZKn9lG4XS7w0hq3VGjmylWhGIrwRFp3JjDbufs4INdRbpbYybGbpC1aw78HknImw596KoCnpeAOMXxAMd+O/B559/zvjx49sG/AsKCqisrGwXFyWEoLW2lWhDDMd2UABPyENWSVabAnjTcsnWJOm4rKJ6w9529/8cFi9ezNChQ6mrq8MwDLKzs5kzZ852v8TNhEkqnkLVNDwhN6qqcuihhzJs2DBOP+Z0EpHtz+8V9yn61dv1Z8bq1auZPHkyH330EZecfi5nH3ESvnAQ1e/Cqm4l8cMGFF1F9blAU2XQfDyNMG20XD9PfPgKd773DFNveYY+XbpnjL7BrIqg5/rbMmE3QfUZBEf3aDf/lLbF/7F33uFR1ekX/9w6NZNOEnoHaaJIU0HsHXtbC5bFLrZ17QXXrmvvvaHYexcVFEUEUUCB0HtInz63fn9/fIcoC+Lub3VFzXmeeZLM3DJzZzL33Pd9zznYno8qPE4ccxzffvstH3744WZ92x555BFOO+20jexngsEgL7744hbXKvujwM85rLrwZYTzb5C2PBRDo/2NB/0iM2/r4TgONTU1fPXVV9x6661MnToVkGbd77777i+2n18KrcTtDwwhBAsWLOCdd97hrTdeYvKn0+jZrR377TGU/XYfwvDBvVGz1eBnEE4G4p9DdrmccWPjVhVoSNWnJ41w8yIC9Ei+4laSFzCskfYfWjSfsqBBsKO8r3CYtBlJfy9/+pZMVnCTYK+lsTHOHn+rZd5yF+tfyFsooKGpOqMGD2GPkfuy+w6j6Ni2PQBGZQzjN8gZbcWvg/vuu49zzjkHRVG45ppr+Nvf/rbB4/GaOMm61EbrGQGdNt3btESX1S+t36A9qSgKxe2LCP8bIePjx49n9uzZvPTSS4AURey5556cc845Gyzn+z6NK5rIJX8gZqqmUty+mMcnPMaLL77IC4+9QCae/cl9VW1V+YdK6Pj0008577zzWLduHTfccANHHXUUiqKQnrEc+0eVRyEEWC5K2EAN6HgZh+ufuZcJk17l3RueoHO3LrhJC7cuiV4a3cgIW9EUYnv0QTU0HF9Q3WhRl3HxhUBTFMqDCv+8eBwff/wxH3/88SY9/955552WTNJNYffdd+f999//ZQ9QKwBIfrqIphe/3mCm7eegGBrFh25LwYj/zoNvxowZDB48+CcfHzp0KK+++iqVlZU/ucxvhVbi9ieBsOuJr/yE9z/5mjff+5K3J80AYK+R3Tlw957suWNXwrlpUlHq54D1JzvlRz818iPF+ZzS/E0NSGWnakqrDqdOkjI1JBVkRglEeqGYpYjoABR8hLU2H3uVgOQ3YNeC3QB2PelUigMua2Da9w65fIJQOKhyw2nDGbTVnnw4axUfTP+Wad/OpHvHLuy2/Sj23GkXdv3LAYTCG1sH/CLHT4gt0s/nj4zTTz+dxx9/nDVr1mwwp+R7Pmvn12wQ0eQ5LnZanngrerQhVhmjflnDBmRqPRSgolcF+mb8voQQ9OvXj8svv5wjjzwSgEsuuYTGxsaNFKJNq5pIN21svKsoCgklzsBtB7J66RpyDZuuuAUiAcq7lm3ysd8zfN9nwoQJXHzxxXTo0IFnnnmGzp06Yy2rx17ZhLBctFiIQNcy1IiJtaQOa3kTwvP5+wPX88nsaXzw1CuUuAHchjRqeON5U704THRYFxRD4+t1GZpzGxOA8pDOfVedz4cffsinn35KRUVFy2Pz5s1jm2222awgRlVVli9fTvv27X+ZA9OKFtTeP4Xs7NX/8XqhAe1oc+rI/2rfP0XcSkpKuP322znyyCMxjF+uqvdLopW4/YkgGj/NV9PAdR2+nP41r7/9Ea++N5fVtSn2Gl7GQdt77DvYJxbx+KFVun6GTPnRffkehhqQbVOU/LxbVFp6KJp8bD2xU8MyFitQjqJHZBZpoArcJkRiprQfcZPSy81J42QbOebaRt6clsOyBaoC8yacTrv2e0gPN7OceDLBJ19+xvtTP+b9zz6mOZVg0KBBLbmr62//qZTb8zzmzp3L559/zueff87UqVO5/PLLOeGEE/7r96AV/z48z6OmpqalxeV7Ptl4lmw8S93SelzLwbN9cqkcTsYGVUE3dAIFAaKlUay0hRE0CMWCaP9C0n5OLfzII49wxRVXsGDBghZl4vXXX8/333+/Qeao7/msnVfzk1m5BeVRth62NTfecCO7DN0VK7UhQVA1lfIuZRihLfME8UsgnU5zwQUX8NJLL/Hmm2/+ZJVDCIGzLiFJHXDiFeeweMVS3n34ecJ6EK850+Ijp2iKNOltEyXUq5LmnMfX6zLYniDt+KgKFJgqav5ia0hliFNOHMN33323QebowoULOeOMM/j0008RQkgxxb/kzeq6ziWXXML48eN/tWP0Z0XNrR9iLar7j9cL9Cin8tzd/qt953I5Fi1aBEhV+5o1a5g0aRIPPfQQuq5zxhlncNVVV22R842txO1PACF8EA7Ct1ESsxBWDWSXgHClw3luNXO/X8IrH63ilQ+XsWBFht22NTl4hMF+w3XKCteL91UkYVs/j6DLKpvwQVERaCyvDzNnUZIla2z+ekB7IpF8MoKXhWB7KN0FRbhyG2oAEe4OqXmQ+l5GX/kpWYmzG/GFz9l3rOP+l9fRqSrKvLcexcvEINoHhQ0FCQLBUpqYOevrDbJXV61aRdu2benXrx+9e/cmHA5jGAamaWIYxga3mpoaPv/8c6ZNm4YQgmHDhrH99tuz/fbbM3z4cGKx1jm63wrZRI7GlY0IX9C8tpl189fh+z6+6+fJkIJuyi9YPahLRXAogBkxQVWItSnYQFkcKQ5T3H7TaRYrVqygf//+TJw4kb333rvl/rvuuouPPvqIV155peU+J+ewbuFPmzcrKkx48RnufeQePnr1Y0LhEKqugoBAxCRaFt1s5e+PAiEEt99+O1dccQVPP/00BxxwwGaX9VMWuXSWfQ8/kFhhjGeuvw/VV6R5ry9AV1EUBbNDMXpxmOVxi8kr0zTl3JaELU1VaF9gUGBqtIsaFJuCscccQWNDA++///4G5rqu6zJ9+nQ++OADXnvtNb799luCwSDZbBYhBIFAgFQqtcGcZSv+e/yWFbefwtKlSxk1ahQrVqxgv/3247XXXtvicmpbidsfGEL4kFn4Q4C7auAblZCeh+JnZSVMjyES30LzVOQUcBPV1ct45dMkr0xJM2uRy+DeGvsOM9lnqMGArjqKAom0YO4ymLPEYdZCl+kLXBau9Mg5goChkLMFi59tT6fK/MlS0SDYDioOR1GQwgWAQFvQCxGZRZLA+TlASKsR4SO8JLdOWE1hm5789djTyNUUo6gbRwfpxSHMDhtX1pqbm/nuu++YM2cO1dXV5HI5bNvGcZyW2/q/S0pKWoha//79t8grrT8jPNdj9dw1ODkHz/WoW1hHJp4hl7SwUha+70uRiqmj6RpmyEAP6qiqRmmnYkBBD+gUlEeJr02QbsoQiJgUdyimonsbQoU/tNeFEOyxxx506tSJhx9+eIPn8dhjj/HMM8/wwQcftNy3uYpbNu/XJlQYffxoDt77IE4fewbBaICyrmV/ytb7yy+/zHHHHcd1113HuHHjfnb5pqYmhg8fzh677c7Nf7sKL5mTkxoBDaNNDL1YzipOW5Nm2ur0RusnbZ+AplAZ0SkM6oSxueqkw4iGArz++usEApu2+0kmk0yePJl3332XZ555hqamJv7yl7/w9NNP/ynft18Lv+WM2+bw1ltvsd9+MnHnkUce4cQTT/zV9vX/QStx+wNDJL5F5FZJ7zQ3IX3csqtlOzLcDUJdUPUIvrUOmiaD78qg9+wa8BrAy7Km3uKd6Q5vf+nw4UwHIcBywPMhYICmQWYTozsdKzSWPFuJrNB5sooW7ASlu6EUbAXpBfk5uAhKtDcAvm/LIHqnHsVtluKGSA8IdkDRYyiKhlOXxFm7YZi8GjYIdClrtQX5A0L4gtVz11C7SCZbZJoz5FIWQggyTRncnMMPc5hghAzMsImqqSiqQqw8ihY0pG1IzgUh0AyNSElE2lN4Ph0HdqC4QzGarnHPPfdw4403Mnfu3I0qrC+88AK33norX3zxxQb3b2rGTfiCxuUN0s8QmP7tl5x3/Xm8/tAbdO7emaqtKn8x413f90nVp6hbXE+mWZLS0s5lFFUVbpFK1WnTpjF69GiOPvpobrnllp+9QFqyZAnDhg2TgfJnnCnuW2IAAQAASURBVAm+2MD+I5PNMr3OY3ZtFv9Hp7O047Ok2UZToHdpgIwrsF1BiWLx8LhD6Nm1C88/N/HfqqJ99NFHHHPMMYwePZq77767tfL2C2FLUZX+KzzPo6CggGw2yx577MF77733q+3r/4PWT98fFMJNIXIr8mKDrLT9SM0Dp0EStOwyMIrwS3dFCbRFaDEQcanyxJI9HgzalmmctI/PSfsoWLbD1U9Z3DRRzslZDjJW9F9g6HDIyJCceVM0qSw1iuS8m7UGpXAbRKS3tAzBzcdqVaKGumyymrbBtssL0GIhvOYMwhdoERO1INh6FfwHgmM5pOvT2FmbdFOWxhUNZJulItPJOtgZGyfnyAzM9aRNQTr1W9LTTdVUVF0lWZ9GCIERNPA9D03XiEaiOJYrW6xCsGT6MtqmLF59+xUuvPpCnr7/aZwmB0uzNjBgjkajG/jLrUdh20I81yebyOYTnaSi1c65KCpohs6QrYcyeMBg7nnybq4YdyVFicJfhLjZOYclXyxh5TcrcXIOqqZihA0aVzbRpnsbOm3bcYsjb8OGDeOLL75gn332YeXKlTz77LObHQLv2rUrr7/+OrvtthudO3dm9OjRLY89/vjjnHLKKdz2/Lt02GpbVibsFvK2Oumw4OPXqerSk4XqVjTnXNy8oGWvq5/guXMP45jjT+CZJ5/42VbYLrvswrRp09h77705+OCDmThxIuHwzyuTW7F5qEGDgp17/Uc+bgU79/xVSRuApmkUFRWRzWZZtmzZr7qv/w9aK25/IPieLRWa1mpEbk0+BcGR3mvJ78BLyJapb+VVoLoMji8/UFp6NH8K6WVgrZLVsJZsQfKaBB/UELOq0+x6Tg2prPjJlINBvUwG9QpRFAtRHIXiojDFRQUUlVRR0nkPSoqLKCkuIFa5LWqk6//mALVii4eVsqhf3oDwBcIXNCxroHlNM57nEwiZ5FI5kvUpnKyDv/6LPs/ffN9HUeSsmxEy0QM6ZsjE93w82yNQYIIPnuOjagpGyGiZL5syfzLX3nMt915/H7vusivITVLcoRjf88klLb6Y/gVnXXAmS5cu3cCWQviCRG2CxNoEdtbGc33sjE3z6mbWb8gIGdQk1nHEWYfx0FUPM3THobTfuh2hWOg/vugQQuDkHJZ/vZzlM1cQX5uQZtSaimZoqLqKGTYp7VhCp207Ut7t581nfws0NDSw66670rdvX5588smfrby99NJLHH/88XzyySf079+f008/naeeegohBCdfNJ6DTzoT2xM05Tws12famgxfTbid+e88w47XvYBSWEnWEyAgYij00BM8c+7h7DxyBBOfeOTfmmNqamriwAMPxLIsXnnlFaqqqn6pw/GnxZaYnGBZFrFYDNu22XbbbZk5c+avur//FK0Vtz8IfLsJ1k4Atxlh1ckw+OxSMIpBjYBdk7fn0MHPpycoUZlZmv5eCgcC7cBNS4LnpkARgCsrdIopUxMUlW16FTHtfo1RZ6+lMeHh/st4QsCA4/aIsKZJozkNy2o8mpJxmpINNKeW0ZSaSnM8jef56LpOaWnpBmkQpaWlVFVVsfXWW7PNNtvQpUuX1oranwSNqxrJNGdwsg5OzqFpTTOu5eJkbTm07vr4tiRiAoGqKqAoP1iDKPJ6Q9VUfMcjnZVzT77n49ouZsREeALPzRvb+IJ3p7/L3c/fxR2X3cGg3oNanovn+Sz/egUFZVFQFHLpHL7rU7+0ntIupS0n+rpl9aTr06i6nKVLNSZwcjaO7WKYOsIXWCmLIqWIA0YeyPUPXs/dbe7GSlsUVsbosHUHcskcmeYMvicwwybR0shGlTLf90msS7Jq7iqWfrkMK2nhWq4krIBm6gjfR0fHzthk4lma1zRvscSttLSU999/nxEjRnD66adz//33b/b//JBDDmHp0qXss88+lJWVsWTJkhYFaPXXX8JJZ2JqChURHccTRE2VrQ47i6Z1a5n6jxPpc8kE1HAMV0DOVQgVFHPAjc/y6gWHc+SJp/DcYw/+7PdMcXEx7733HieffDKDBg3ipZdeYvjw4b/ocfmzQVFVyk8dkc8qrQb4zbNKX3nllZbP1oABA371/f2naK24/UHgr3kasssQbuqHIf/c6jz5CoJIS9NcVZcKT/IJCAChblC4jZx/0yOQnJ0ncHGZjuCnQQmCFpLVO0UB4bFyncWo0+expt5pyY8G2H/7MK/c2F2KH8wSuU6gQu4z0hu1aDuEWUncKqSxKd6Sv9rQ0NByW7VqFd988w1z584lEokwcOBAttlmm5bbVltt1Tpn8gdDLplj4dTF+I6Hk3PIxrMk61Mg4NXPX2XxykWcd/j5ZBNZ7LQtDWk0FUVTQOTNXBUIhE1UXcPJynglRVVbrB6MoCGFDIaOHtB5Z9rbPPjGA9xx+Z0M7j8YFIXSTlLkkmnKkI1nKWxbiG7qvPX+m9z3+H28+cxbFFbGiJZGqV9az5p5NayXMjqWI410haB5XQLf8fAcX5JPy8HVXK6bcA3NmTj//Ps/aVNYgRE0iBSHpW2JrpFL5fA9QVFVIeHiMJouq2jJuhT1K+pZ9uUysvEsnufjWd4GwgjN0NBNDT1gECmJ0L5/O3rv0uu3eDv/baxcuZIdd9yRI444ghtvvHGT5Gm9j+Inn3zCnnvuuZFlR1VVFe99u5i6jPwi8gVMXZVmZcJibcJi2s2n4aST9Dj/YdADmJqCqSlURXS0RA1vX3QEu++1L889cu+/dZEohODuu+/moosu4p///CennHJK68XlLwA/55D+ajnZ79bgZ23UkEmob1sigzv9Iu3RJ554goMOOmizDgHffvstu+++O3V10qbkk08+Yaeddvqv9/1LopW4/QHgO3FYcS/gIVLzwa4D35ZCAz+D7CPlZFtU0WUWKYr8XYtA6R4oxUMQ616RCQdWjZyFcxpl9JVnAZ5cVgnkQ+NrAY+6hgy7njGbxatyWI4gaMKOW8fYZVAhfz+hB4Q6QaAKRQuBUY5SeQiK+e+bjVqWxXfffcesWbNabt9++y2aprHTTjuxyy67sPPOO9O/f/8tTrLdiv8MtYtqWxSa6YY0whdkElkmTfuQf754C0II7h/3IGUFZdjpfFatLufZjJAhg8yFIBSTKlErLT3TfE+qThUBqAqqqhKImrz71bs89MaD3H7pnQwZKL3FNEOjsG0hVtqiaWUTiqJQ2rkUI2jw5HNP8tGnk3j87icwggaBsEnd0npSDWlcy0H4Ajtt43k+ZsQgWZNCNVRUVSHTnMW1XQLRAGaByYOv38+7n77LlX+9igFdtqa0cwlW0sKxXITvt1QDDVMnXBJG01XSTVnia+OStNkyHcCzvA2MiFVTRdc1NFMnUhyi9y5b0XGbDv/rt/I/xsKFCxkxYgRnnXUWl156acv9nudx++23M378eMaNG8dNN930kwkHjY2N6JEYzTkPTVWoS9s8MbeZ+Q05mpMp5lx/PHpxBd1Ovw1T1/B9n5CuUR7WcBrW8OGlRzJq79G88shd6P+monzKlCkcdthh7Lffftxzzz0Eg7+M4KQVvw4GDhzI4sWLOfDAAxkxYgS9evWisLAQy7JYsmQJ7777Ls8++2zLZ+zUU0/lvvvu+42f9cZoJW5/APi5Glj9sLT/WB/sLnzwMnniZgCuFAkg5GPrTXNVE4p3RinbRRr0GsVSmGCvy6/vyExRxYBob0n+fAvQpfDBWsvStUl2Pf07VqyTH3ZVgb1HtOe1+w6EQDsUVYdwdygeiWr+Z2a4m4LneXzzzTd8/PHHfPTRR0yZMoVgMMioUaPYZZddGD16dKvL+e8Qq+espn5ZPamGDOlG2eKct2Ief7v7PFzPxdAM9hu6P8ftOgZFUeTsWr6lEiwIogdkizBYEMDNujiOi2d7LdU4Iyyv2BVFYfri6fxz4s3cecldjBi5I7mkJHmaqZOqT+LmXDLxLJqhUdy+iKJ2Rdz1yJ0sW76cq8++Gs3QCIQDZJNZmlY141kunuuRS+YQPgQLAvieD6qCpmtYGQvP8jAjJnpAQ0Hh7alvc/dLdzFmj+M5aKeDyCVyeK6PqkmfNz2gUVhViO/6CN9HUVSaa+K4tivn+xRky9gXLb7Yqq6iB/Q8AY0x7C9D/614ry0Bc+bMYaedduKqq65i3LhxLFq0iKOOOoq5c+e2VNh8f9MzUKFQqEXAsB6eL3jm+ybeWNhMs+UTb6pn9tVHUdh/BG2PuBhUBVNTCekqsYCK0rCKSZcewU77HcILD95B6N8UdaxatYpDDz0U3/d56aWX6NBhyyfKf1YMHDiQb7/99meXM02Tiy++mCuvvHKLrKS29pq2cPi+zxtvvIGqSsPJTf10nRzu2uW4ViNufCWeZ+E6Dp7n4Hk+quqg6Saan0ZVfDRNQ9NcFFUjGA5QVDybonYRikq7UiTWYoj6PMnTwIhBqDNKpCeY5QjPArcJN9fMO1+kePCZ73h/WhOm8cOH2xfQpWt31I5nQKQHivLLqto0TWPQoEEMGjSIv/3tbziOw4wZM/joo494+eWXadeuXStx+51B+ALfF3iun7f4gDX1a7jk/otwPdn+cjyHd2e+w5h9jsc0TDRNxfN8hOMRLAoTiAQQvgeKQkZk8IUPQvrACU8gXIEe1FgaX8o/J97Mladexda9tiYQDeLkW46puiRuPttUMzQ0QyPTlMVzfdasXENRRBIpRVWJr4tLe5JkTtqN2K5sX9oewvcJxoJohiRtdtpumbMTvkBRYGSvkZQdXcYNL1zPl99/yYCOA+hZ1ZNuVV3RFAMn56BoKkZQRzcNhO/Kk8h6Ma0vEwTWt4jXe2Rrhka4OESH/u1/V4kM/fv355133mG33XZj1qxZPPPMM3ieh+d5mKaJrusIIchmN858FULw1VdfbUDcNFXh8K2KmFOXpSHjoirl9Dr/Yb675kiUglIq9zv1hxa3L4i16cDBNz/PG5cczWFHN/HUY4/gooGiEDZUIsamK/rt27dn8uTJnHXWWQwaNIjnn3+eUaNG/SrHqBX/HV577TU++ugjPvnkE+bMmcO6deuor69H0zRKSkro27cvo0aN4thjj92izyGtFbctHLZtM3To0JYZHd/3N/qpaRq6YqH5CXTFRlV9dNVDU2VUlC802VbxwfeFrFQIFV+oZC1BPOXSlHSx8146kZBOUSxAUUGQ8rIC2lUW065DN9pVFJNJrOKDT+cz/dtVuK5Hzt74CjgY0Bl/3r5c8I+JKFpr66AV/x6Wz1xB85pm7KzNykUrOfXmU2mI10sClkfACHDR2IsY1X9n7Ew+/kgFTdcIFAQxgwaKptC0qpmGdfXYjkNhnmwJIVjdtJpLnriIc044lwN3OQjfcdECOiXti2la3czUz6fSrVN3igqL0HSVbCIHQuB5Ptc9dS0DthrA8YccT7QsSt2SOpK1SVAUmeCQtqR4wvfBl8kIXp6s+a4kdIqqyCkFZOVP1VXW1a9jyvdTWLBmAdVrFuD5Hg+e/DCGYaCbGmYkQKQkImf/LJdcIif/hz0PfFoIqqapFLSJUdallPKuZeimTmXvyi3ODmRzWLZsGXvvvTfz58/f4H5VVTn77LPp1asXV199NY2NjeRyGxpI7r333rz99tsbbXP66jQvL2ymLuNSl3FZvuA7vrvuWNodci5Vu/6FqKmiIAibKm0jBmamgZcuHkOspJTjrn+EosIYVVGdTrEAfcqCmJqCbduY5sbWRQ899BDnnHNOi8HwllitacXvH60Vty0cpmkya9aszS4jvDR+Yi6sekAKC5ykzCRVAAJSDSpceYZTA/kc0WB+Zk0HBBhl5IzuNCVsmpvqaW5O0JQNU5sMsXpNLWvqMnw/bwFTvlhAIm1v9vlomkrbTn1bSVsr/iMYQfl1JDTBpQ9fSlOycQPSBmA5Fs+89Qz77zyabDKLnbERniBaFqGsczmOJUUNH371IQ+9/iB7DtqTg4ceAgIaEvWMf+ZKRu9wAPuP2B9UgZn3aXMdD9u2ueSei7ntktspKy/FSsnPuZ2xcbIO9U31lJeVE6uM5W1EFHxPoJkKigq+40ulq6KiBMCxXJng4KvggzAEviPn7UT+fO75PiWxUg4cehCe4+F7PvXperR8ldpb3yYVAjNioAd0WbnLuSgOUlErBGbEpNOgjpS0LZazCkCgIPi7IW1CCB588EHOOeccXNfd6HHf96murubWW2/lpJNO4sUXX+SKK65gxYoVLQHxn3/++Sa3vXVFiFm1WQK6iqEomH36oV7wILNvPBEjUoAyfD90VcG2fCzHJhYsYq8bnmPK9adx96kHcsh1TzInWkZZKMP3DUH6iFpG7TCMCRMmsO+++26wr7Fjx9K/f38OOeQQvvrqKx588MFWv7dW/OJorbj9zuFnVyHq34PcMqkKzawAe7W089CCkqwJN28DYucFCWHyZgigFUn1qF4MBf3ALEFR15uOalAwAHwbgY+SXoDvJHjhjWmcevXn5HIutrvpj09FmzK2GzSQQdv0Y9B2Qxk8bKdWz6NWbBb1yxpoWt3IKeeewpSZU/D8n47B6dO9Lx07dKAwWkhBOEZhaYym5ibqGupYUL2AhoYGjtt5DEO7D5MtRVXhtjf/iaEbnHfQ+QQLggQKgoSLQgQiAQKRAJOnTuby2y7jhRte3ECx7Hs+dtZhzHXHcsv4Wxixg8xIbF7TzJq5q3EsT5r/Oh6KIv3h3JyLyKc0uJYr593IqyNVpSXrQVFUHMfBd+S83nrih3Q5QVFVKWgImxTkc03NiEk2kcNKWRSURQmXhIkUR9ADPzxn3dQo61L2u8lBnTlzJtttt91ml+nVq9cGlTghBO+88w5XXHFFi89WdXU1PXr02GC9lO3x6co039fnWJG0Sdk+Wcdn9ucfM++OM+l5xm2UbzsK1wdNgYCmEtRVuhXAWzdfwNq50xlyyWOUduxGoeLwxri9qV+1lK69tmLy9FlURY2WMPv1qKmp4bDDDiOVSvHKK6/QuXPnX+ZAtaIVQKsM73cK4buIxNdQ8zzEv4LsSikoUIQUHujhPDcTUmAgRF5RmhcpCE/agtjrwHdpjDuce81bfDd3rozGAsADNyErZwXbgBpE8dMcvlcXFr17BIft3QtD3/gjpKoKN131V3bboStLqr/loov+Trt27Wjbti2jR49m/PjxvPXWW9TU1PxPj1krtnAYgoNOOIiPv/p4s6RNVVUMXWfbAdtSGC0kkU5QvWAhTs6lR4eeHLHbEdx75v2M6DcSwzAwAgbVaxcwa8ksjtr+aBzLJd2UIbEuQbY5S6o+jZW2+GjaJEZutxNuztsgOklRFbSgSm1jLaWRHxTRRtAAVUZrKZqKbuqymuaJFoPf9Ya4ekCT6teggRkyCUSCmCET1VAwAgaKJvezYWtNkUIFRf5PgYJmSlPhDlu3Z8gR2zH4iO3ou3sf2vatIloWJVIcprhdEW16tPndkDaAQYMG8f7779O9e/efVGauWrVqg78VRWGfffZhxowZvPfee4RCIS688MKNcmMNFRY05rA8n8qwToGpEjE1umw3kq5/vY7qe86l6fvpGCoYqio98VRYmhS0P/F6Kobvx9TLDmPVnC9595a/0VCzGiEEyxcvYsKr7/BtbW6DzwtAZWUlkyZNYocddmDQoEEb5Nu2ohX/LX4//9mt2BDp7xHZFQg3DsLKW3zkVaOsby+54Dnybz8r26PrW6VeTlbSlCAvTRWccv1XJNIuXdsX0rdHOYQ65rchQAuhhrtA8XDZ4nGaKAkFePK2Xow5dCHHX/ASjXGLXH6o2/cFh+wzhHD4hy/gZCrDN/ObmDk/ycyZM3n22Weprq6mbdu2bLfddgwaNKjlZ5s2bf5nh7EVvz0WLVrE/fffz8MPP0wmnSESihA0g2StLFkr23IiNnQDTdPxfY/vF33Po/98DE3oNC5rxLEcOVsmwE5bLVYZvidFB09+/CT7DtyPwmChVGEqAs/1iK9LYJg62VSWSVMncfFxl+DkHMyw0ZIzGogGEJqcKSsvkma2Laa6VTGa18ZZ3/v0XR+EjxowEULkyZouDYWR/x+KqmBGDDzHQ3EU9KCO57gy0SFPBAGMgE64WIouWtqzQgoSApEA0bJoyzE0QyZmaPNxcVs6dt99d+bPn8/DDz/MhRdeiGVZG8yxpdNp4vE4hYWFG627xx57sGjRIgYNGsR9993H6aefDkBzzmP62jS1GZeM40sLSgSu7xMxVbqN2JeQl+H7205jxyufItK1Px7geD71GQ9PQJuDzkUpquDLq49FEUIKYADXsbnnhqvoMGgk5SGN9rENj79pmtx9990MHjyYAw88kMsvv5wLL7ywde6tFf81Wonb7xDCt8Ba06KIkshXvjQT3BCwfqYtBCJLiwxNDefjrkKsqQvy1xvX8MmMBmxHChlWrm0C30L4NooaRGhRCG+FqiiIcA+UzGJpE5LHrjv0oPrji7jqnq+5/cHX8TyfUNDcgLQBFETDjNguzIg9dkLR5MxHIpFg1qxZzJw5kxkzZvDUU0+xcOFCOnTowIsvvsiQIUN+1ePYit8W06dP58orr+Sjjz5i/332Z/vttue9j9/j8rFXMLzvcFzHJZeySKfSpO0Uru7ghwT1dfUkGpLUVzeAkH5tWt5w13c9fE/GZWmmhuu6TJv3BXXxWvbdbz9Atth8BIrr5/NOoXpJNZ7vMaj/IHzLJxANEioMYoYMAtEg33z/DW3K2hAtiqKqCrblEowFKWpXhKqppJuz4AkUXcUI6BhBnVSjVJx6DlhpmfygAMFogEA0iO/7eJaLqmkECxyMoIGdcVAUhWAsiG7qaJpKrCJGmy7lLbNrAP6/xpX8QaBpGqeccgpHHXUU11xzDbfffjtCCFzXRdM0li5dysCBAze5btu2bXn++efZa6+92GabbRg0ZChz6rLELY/SoI7jOTi+QEEhrKsgBEpQo/MBx1CAxRf/GMMeVz+B2mEAOU/gCrmshyDcZQD8iLStx6rquXw6ZQrmzjttRNzWY8yYMfTr149DDjmE6dOn8/jjj2/WALYVrfg5tLZKf4/wMvlcnwCKFpUea6oufwryAfEeoIKq5gUIICtxAuFleei1tfQ6Yi4ffyVJG0gbj8WrcuDGIbMEkVsOmcWQmI5IzQO9CEp3A2N9u0gBo4hQaT9uGn8y06e+S5/e3ejSsWLzzz2PWCzGTjvtxHnnncczzzxDdXU1zc3NPPnkk/Ts2fMXP2yt2DIghODWW29l5513ZpuB2zD9w6+49arb+GLGF/i+z2X3XMqUr6bg5FycjENAMymNltGhpBP9OvVjm7bbsEOvHcglc6Qb0jhpm5nfzmTJiiXkslk8Vw75u66LLzyenfoMhw47jGAgiKLIVub6nFPhSmuOT7/9lB0HjiAQMImWRmVIvapgpWwSNQmqv6umsrySqj6VtO3bljbdygkXhVE1leJ2xRS2iVFQUUBBWZRQYQgUWTkLhALoAR0jrKOqCmYkQKAgSJvuZVT1qqTHDt2JVRYQKY4SiAQpKIsSLYtSUF6QT0DQKW5fvAFpA1nV/iMjFotx0003UV1dzf7774+iKHiexxdffLHZ9UaMGMF1113HoYceyrdLVuP4AlNV0FRoV2BQHtaJaFAa0ulTFqJLUYCgrtBn9EkMPu583rv8OBILv8bPk2wfgZdqZsFtp8AmPOR8z+PFu65jUWOOhuzGoor1GDRoEDNmzCCVSjFkyBDmzZv33x6iVvyJ0Vpx+z1CldUsRVEQwbYy4cBeJ6trTkNejBDMm+96IHT5xa/qLFplcfw1K/lmYY6cvfGX//dLkrw+aQlNTjvimUbiyYU0J22a0wbxZJp40iGbzVJUGKC8tIiy0lLKyisoq+pBeWUX7r79WiqizT/93LXQZl9aYWFhqwfSHxhNTU2ccMIJzJo1i0mTJtGrQ2/SjWmmffUF6bQ03XU9l/GPXcWVY65i684DcS0XXVPRTY2GFY2y1elLfzbP9bAyFlc9dwW+8FFQKIwUUllUSafyTjRnE3i+R9+OfQHZplQ1FU3X0AKarLgJ+OK7L/j7SX8nXBwBBdKNGYTvE8irTmvqaqgqryKXtIiWRglEAy3WaYGCIL7nk0nkwBfYWQfd1ImWRFBUhXRjBt3Q0Eo1FFUhWhrFtTyCBQaoCsFoELVKwc46UiXrC/SgLufiVOVfKusS65/XHx2dO3fm5ZdfZurUqeyyyy489NBDnHbaaZtdZ9y4cUydOpWLzz2Ti+9+iqip4gkZPu/aNo+fui9HXHILbQcOZmncwvUFjTmPtnscSy9LMO3aExhyyaMUdB5IynJZdO85uOk4LS7HP4YQ1C/4mk+/mE67gh3pUx6kd0mQ8CY838rKylrEFEOHDuXRRx/l0EMP/YWOVCv+TGglbr9DKFoIYbYBuxbFKIGCAYjU95CbAULNpyIAXgbPcaiJG6ysN7nioVV8/HVqU+eBFixelePqh5dRXFRHUWGUwliUwliYTm1sinuWEyvtSDhSSFNzivrGBPXJAN8tTlD/5XvU19dTV1fH6tWr6dKxgh2H9mWHoX3YcWhfenVvjxJog6JF/jcHqRVbHL766isOP/xw+vXrx6xZsygpKWHNd2twbZdnn5+4gSu+67mMf+IqLj/uSkJ6iHmrvue75d8xZ/FsLj3mUvq1H4Dv5m0xfIXulT2oXrsAgaA53Uxzupn5q6UC0dAMzn38HIb0GMoFB/9dZokCCooMho8Y1NSvpU/PPrKy43oEwiaR0kjLsuVVZcyqzpJL5nBysq0ZKYuSqk/h2S6u7SE8H8/xMUMG0fxjru2iwA9CASFVqr7rkWnKYIZNjJCBnbExwyZm2CSbzEoBRtAgm8iRWJckUCC93BRFChhibQr+p+/db40ddtiBpUuX0q9fP1599VUOPPDAn1xWURTuueceem3Vhylvv0q3kfvhC8i5AhednrsezKMX/ZVD7n6b0tJSPCGVvM05j632P45IQGf6tSeyw2WPEDWCxL+fhmIEUDQD4W0ctyU8l5lP3cJO2w+lMqrzTW2WoVVhNHXjWTZN07j22msZPHgwY8aMYfr06Vx33XWtucut+I/QagfyO4XwLYjPRGQWk2pcTvX8WSxatITq1bBwWT2LljexutZiTb2LL6C8UKE+Lvi5DoumQnbydqiBMtALZQvWKAMviRLuAmYFSvBHjtJaBKVk5AbbaK5fzhcfPctn075h6pff8+XXC4hGwuy440hOPOmv7L///r/CEWnFloofB3JfddVVnH/++S25sqvnrKZ2eT0jDt+BdDa9yfVDgRDb9dmO7fpvR882Pelc2YVsYw7f87CzDsITfPTdJJ7+7Cks19rkNjRNY/zx/2BAx/74nsw4DUYCoEDCSXDYRYfyxXPTMM0AvuPJFmWHYqnqBKZ8MYXLrruUKW98SnG7IiIlEYQvqFtSz9r5NQjho+kawXz1LZeUQfFW2sLNbniyj5RGCBeHsdM2BRUFaLpGfG0cz/FwLIdcIkekVM7ShQqDuLaHk3UIl0QoqowRq4gRiP45Km7/igkTJnDeeefx3XffUVa2+czjJyc8y7hx4/jbxClEi0oByDg+tufzyAUnIFybQ657AiX/WazPuBiagqLAyg8mMvmBf7DXVY9hF7Vl2bw5pJbOJbHwazLLv8dLx1HMEMK1IT/3tsv4J+g2ZBRFAY0+pUF6lwaJmCqVEdmi/VdUV1dz8MEHU1xczMSJE2nXrt0vfLRa8UdFK3H7nSEej/Pxxx8zadIk5s6eQfWCBaxZ10RhgUnPTgX0bK/To71KtyqNDuUe7ctc2paamKaJUIJ8uSjIY2/FmfjOcnzhk7U2fvtXvdSZyooyGXflO4ALwY4oBf3ArEQJ/ssXTMnIjSppQvgyiN63sf0As+Ys5bPPPqNnz56MHj36VzxCrdjScO655/LCCy/w3HPPscMOO2zw2LIZy3h14utceMcF2O6mjZ0Nw+Duy+9hu77b0biiEcd2yTZncG1PJhW4PolsgtMfO3UjKwiQatR9tt+Xc48+D9+TWaChwiDFbYtJN6WY+unnXPHg5bx26+uomkK4OEy4NEq4MITv+WSbsyxavIgDTz2Ar9+YRcetO6AHdRI1CeJr41hpG0VTCBYEcTIO6eYM2XgGI2CCCk7GbpmpM8Mm0bIoxe2K8FwPVZexWr7rk2nO0LSqWeagRgNEisMEY3IsQvgCPaBT1bvyF353fl8QQnDIIYdgGAbPPffczy47cu/RZDE55h8/BIWnbJ/vV9by+jn702P3wxlwxJmYmkLK9gjqKhURnaKAzqevTuCDOy9n8LibKRy0B76AtOPj+mA11dG87HvSy74j8/3npBbOQAuGGXXN89C2JwWGSlXUYHBVmA4xgw4FJr1KN7Y5SafTnHXWWbzxxhs89dRT7LXXXr/4MWvFHw+t9dktHK7rMn36dD744APef/99vvzyS3r06M6uI7fh2H070uOMfvRop1EWWI3iNoCTyFuD5FWkfg4pUgiiaAGGDWjDsEFbcee57Xlr8nIefK2ej79OYxoKWUtgaLBqXYbKsrQUNoC0DsmtQpgVKJE+m3iWG89zKIoKAXmSCQDDhlUwbNiwX+kotWJLxWOPPcaTTz7JjBkz6NKlywaPuZaLa7m898W7uP5PD3b7vs8tj9/Cm4+9iZ11cLI2uUQOVZPqUTSIhWJ0a9ONResWbbCuoiiUFJRyyoGnoqkKBeUx9IBBrKIA3dTxXI+0yFBRXkGsMoYRMmTrMmUjCoLE18Zxsg5lsTJ832dNzVoiRWEUVcEImdj5apqVsqlbUo+iKHkiJkilUyjQEhyvqKC5OqqhgaoQKAhS3rWMdEOaTDxLpDSKY7n4jgtCkG5MY2dtoqURVF1rMfH9M0NRFO677z769u3LG2+8sdnqvaIoXHHTHRw8YhBrp3/IwJ33JmKoLGm28IIxtj7nTr686ihKem1Lef9hxHMemuoTMVT6lBkcfdwJdK5qw0OXnMqAo9bS64CTsD0X2/NQY2VE+o0g2m8EoQNPA+FT98Z9fHzJYfQ44Sq67XIwtRmXj5YniRoaJSGNQZVhuhaZhAwVQ1UoDekURiI8+uijPPHEExx22GGMGzeO8ePHt7ZOW7FZtH46tkAIIXj33Xd56KGHmDRpEoZhsNtuu3HSSSfx7LPP0KFgJcKqg/R3CKcZrLWQS+VJGuC7gCcTEhQTVBO0GCBk+1MPEwgEOHiXcg4eGaK2McvESUkefD3B/BUuDXEbPAu0gFxXzf/00iBs4EcCA6MI5WcEB634c+LLL7/kzDPP5PXXX9+ItAGkmzKoQY1PZn68wXwbQMAM4HoeQwcM4ZADDmXPXfdEuD5t+1SSqE+SrE9hpSx8z0dTNIQiGLHVSFY0rNigcqcqKhcfcQm6quO6HonaJO36VqEbGr7rYaUsUn6Stu3aYYZNrLSNnbZxHY9kXQIn57bMpFeUVFCbqKV9sh0IKAyZoEiRRHxNnGwyi6ZLJaiqqWimhqqoGEGBETLRDA3P82la2YidzFHcqYS6JfUk65LkEhZWIkuiPoVmasTKJbF0sg6JmgSFbYswf0eB8b8mKioqGD9+PH//+9/Ze++9N0tyundsz2mXX88jV5/PoyNGEI0UUZdxSTsegY592eq4S5h6yzh2uPF19KJyHFcQ0lUasy5RU2Of/fbHCZfy1IXH4TatocfRF6OoGpbj4zkCPZ87q6oa7Q46E7PLABbffwGphV+z1XGXkQgEyBg+WdenIZekc8ykKKjROWaQcQVlYZ0hlSHGjBnD4MGDOeyww/j000959tlnW1unrfhJtNqBbEGwbZsnn3ySAQMGcPzxxzNgwAA++ugjamtrmThxIieeeCId2ujgJkHRZFvIbZY2INJZElBlegIAvlRxajFJwrSwJGDB9hCoAHRQFNqUBBh3aIy5j1ewaEI5u2wblX5wCFACEKiCYBfQI2A3/PCEFR0iW8k9+fnQ61a0Ali7di0HH3ww1157Lbvuuusml/Fdj7c/fJucJS84TMPE0A1GDRnFlWeM5+v3v+aTLz7hrAvPpEvfzoSLI1gpGxWVorZFREojhAqDqLqKaqgM7TkM50fD44ZmcPgOR9C1qgu+46Mb0hct3ZDBStuY4QCFbQtpTDRSWlCClbJaFJzC9cml1is8DQLRAO2rOrB48SLsjNMSY2WGA6TqUjiW3K/IE1Df83GzjjTRLQojBCTrkyTWxLEzthQdrE1Q/Uk1K2asoH5JPY2rmnBzDsl1SWoX15JNZvF9gef62GmLYCyI57T+jwGcfPLJeJ7Ho48+utnl2hXo7H/EMXTt3ZdHbrma2oxLc85DUxUKgyoddzuSon7b8/Wd56HiS1JVKP3Ylsdt5tbn6DZgWw6741WWfPkxU28+k1LNJWqo6JpkbT7g+D5ZV1DUfyQD/vEyyaXfM+3Kw2lYvoi45bMu41CTcljUZLMu7TBzXZYVCZuvazK8sTjBoiaLPn36MH36dLp168bAgQP58MMP/wdHshW/R7TOuG0BSCQSPPjgg9x+++1EIhHOP/98jjvuuE1Gv4jkHMjJ6Bc/OQdS88BLQm4duHXSwd1L5VMSgmAUScIVqAKjEoJtINQZ6t6G7Aqw1kn7EISs2OX94dALyLphZi3y+Kpa4au59Xw1Zy21DVl8oeD5As+TZG19tURVVXr27Mk222yzwa20tPR/dzBb8ZvDsixGjRpFr169eOyxxzZwivccj3RjGitts3bpWnYYvT2pTIqR241k/1Gj2XHIjoRCMj+02/CuMlYKSDemWTp9KZ7zAzFK1iVxsjbZhIXv+jiWzYWP/53FNYsB6FbZjevH3EC4IIQRMgnFQiiKQkF5AcUdiwkWBLEzNmdfNI6KogpOOfLUlueZbkzLZANFIVIaQdVU7nrqLlasWcG1467FDJmUdCzByTqs+GYFmeYsnuOhqSp6yJCVOMdDQQbYGwEd11qfbKKgGirBaBArY+HkpOnuj0mZ7/qEi2UGqREyCBeGKGwrUx9ChSGK2xZh/MkrcC+//DKnn346ixYtIhqN/uRyKdvj/elzOGq34VwwYRJOcSfWZVyStqyExRNxZl1+CN13OYjDT/87PYtN+bjjUxLUybk+voBla2p55uLjUYSg73n34oeL0RSwPLA9H4FCIC9uCODy3dM3Uz/lBXocfwWl2x9IWFfRVQjoKp0LTUqCGinHR1Wge3GQIVVhBrSR3YvHHnuMs846i8suu6w1baEVG6GVuP3GuOOOO7jiiivo168fF1xwAaNHj25R3G0KIjUPsssQXgaRXgJ1b8gWpu+Cl5BxVsLL1+9jsiIWqoTiHVG1CCLYAUUL4ifnQsMnkFsBuZUgXFaus5n0VZzp32f4al6WOUssSgpNBvevYHC/UgZv25cOHbujhSrRgmVohQPQNB1N09A0Ddu2+e6775g1a1bLbdmyZbRv357jjjuOa6+99n92XFvx2+Hkk0/mm2++YcqUKRtcfDg5h7ol9XiOR+2qdYy9YCz4cMM5N9GmXTmu5aLqKsXtiyluV0xR1Q/RRo0rG1k1e7WcaQNc2yObzHDmdWdy0oEnsf3wHXAyNhPffJY7Jt6Bqmrcd+b9tKtohx7QURSFUCyIZmqIgIAIZJ0MyXSSy/9xOV3adWWrbluRTCfxfZ+jdj2KSGEEK2lhRk0QsHTlUo679FjefvBdqtpXEquIYaVyNK1uJr46Ti5loQd09ICO53hkmzM4tiv/nxWkU7+qSDd+10fRFHzHw/eFtPnI20esD4s3QwaFlYV4rk+0LIJm6HIbmkq4KETn7Tr9rvJIf2kIIdhxxx3Zfffdueqqq352+eNPPpUFS1Zw8DWPsTLpkHJ84pZLY9Ynu+J7Zlx1JEfc+DSDt9+RNSkH2xMUB1UCmorng6krrIuneemacdR8P5Otz76Dop7b4vqCtCNkHLQCpg6eD5YrSM+dwsIHL6Sw/0i6jbkCPRQlYqgUGCqxoEZhQENVFDrGDAKayv49YrQvkBW/r7/+mkMOOYSBAwfy+OOPbzLqqxV/TrQSt98YH3zwAZFIhO233/7fWl44cUTdW4jMIkm4kt/LCpubkN8aqimrbsIGvUCmHVQdiRrqJFulRdvLClt6Hk79VKZNeYu3P/6ed6bW8d2yHEP6FjG8f5QhvQMM3rotHTu0R9HD0gZEi0J0KxQ1b0UQ7YvSkmm6aTQ3N/PNN98AtBrr/gmwZMkSevfuzaJFi+jYccPPRt2SeppWNVFXU8dpl55GwDC5/qwbMTQdUNA0FRSForaFtO3bluL2RS2VhtVz15BL5kg1pLAzDlYyx4uTXuSlSS/y3O3PEyspxLNdaupq2OukPTlijyMZu+9YGW/lCVRFIVgY4vw7zmX67OmAVJvquo5lW+iajqKqOI5NwAzw4WMfEYmESNan8Wy3xc/tlOtOZt+d9uf0009DD8gZtBnTZvDCWy9w0IiDaV/Zjlwyh+t4eUsQH+H6CKQydH0CgKqo+ecmK4jrX6eigqrJYPoGq56qNm0xVIPiDkUEo3mFqRA4WYdISZiyruUEC4JSwKD9+SZfPv/8c/bYYw8WLlxIVVXVZpdduGItW/fpxZibniDcawiNlofl+qRsH9v1WfbeU6x680H+PuEjmrUCErZP1pGVNJAJDEVBlbVJl+o3H2XOhH/S76hz6bH/SXiA5Qmyjk/M1GjKuWRdgS8EVmMtyx7+O05TDe3H/pNQ577oCkRMlbYRg/YFBh3z7dltK0Ls0D7a4gHX0NDA0UcfzdKlS3n55Zfp27fvr3xEW/F7wJ/vP30Lw+677/5vkzZAkjHhgNMEbgpUTfoIKaoUIqDIqpseAy0q256ZxQjVhMKhNDc388wj13LMCedTtd2lHHzuZFbVulx4XFtq3t2BTx8Zyk3n9OXQvfvSqUNbmSsa7IRilEKkxw+kDWRe6s+gqKiIUaNGtZK2PwmefPJJ9tlnn41Im+d4NK9uprG2kdMuP5VQIMgNZ92IqRvYaRvd0AgVhYiURjCCBpnmDMnaJCCJihCCQFQGq/uuR328nodeeZCLT7mEwtJCCitjBAuDKLqKgsJlf7+UgjYFskqlQCAWIFIcYrfhu2PossXouA7ZXBbf97EdG8vKoWkaRx5wJCWVJQhk+z9UFEYzJJnad6f9+GD6exhBg5IOxRR3KKaoTREZP8OYq4/lygev4Ptl32NnbWmiGzDwfSFjtnxfzsD5eRNeL986FXJG1M8b+PqeT2O8kTPvPIM7npdZnS0RXUKQacpipSziNQmslEViXYLaRXV/yvm37bffnr322osrr7zyZ5ft3qGSQ045lzfvGk/U+CGRIqgpCKDv/sdR3nNrnrpqHDnXpynr4gv5vhmqgu0LGrIehgZDDz+Zg2+ayOK3nmDajacQdFK0LzAZWhliYEWAwoBGMF8MVQrb0PGcRygYdiBLbjqW2g+exHIFzTmfFXGbuOWSdnxMTcEV0Gz98D6Wlpby1ltvccQRRzBs2LCftUBpxZ8DrcTt9wa7HsVsgxyiSYPwZZVN0WQlbb06T/1BTWorVbzx3gwOP/JYqtq256Y7nqFTxwpee+xvrPniQp64dghH7NmR4qg8iaCGwKyAsn0g3BUl2hclutXGqQfipy0cWvHnxPLlyznhhBM2ut/3fLLJLE+/+hSe53HdmddL5ajtIoQUKuimzPMkP86Taki3VKl+HPEULAjy3EcTGTl4JDsM3gEjqKOoCpHiCAklTqeOnSlqU0x513IKyqMEwiaKqpJNWuw9fG/aVbT7yZkhz/M4dNdDcTI2whMEoiaBsCnnzUoiHHbwocxbOI95C74n05RB01WG7TKUh+58kClvfErnLp259KFL+Mv1R3L5hEt55L2HmTxvMisbluMJD9+TFia+5yN8+e+73rlnvXpVIHh9xmsIBJNnf8Insz/Gy1fmpCeczGK1MzYNKxqJ1yRINaRI1CV/wXfy94PrrruOJ554guXLl292OUVROP2scSQa6/ji7ZcI6SrlYZ2qAoNOMYOIoTNi3E2sWzyP7199BEWBlC1IOH4+nB4MVaEibGAqULnVthx419toiuDNs/cjvvhbUp5gZdLDAzxfwfXl2ypUjbJ9T6X9OQ/T+MHjrLzndNxkEzlPUJP2aMi4lAQ33fbWNI2rr76aZ599llNPPZVrrrlmk36FrfjzoLVV+juDsNYiGj9D1L0l1aV2Lbhp2Sr1LRl3pUcQapivFsCEd9cx8YM6IpEoxxz3V445aFt6dwrLbeVWgF2HyCyRM3LCg2BV3v4jiBLpLRMTAhu2IHzfZ/nKWjyjErOoD7quo+s6hmG0/B4MBjc7q9eKPxccy2Hqy5+z30n7ctcVd9Orqhe+62NlbDzHIxQLEquIAUg/tbwoobJXBbqpk0tZNCytJ5eyiK+Ls8cJu3P9+dczbNthFFYVoerys/b8O88x6ZNJvDjxJZK1CbLJHLlEjnRjGiEE2aYs81bP4/SrT8P1NrzwUFDYfrvteeiGh9FNTfqt+cjYKgXMaADd1Lny+iuY+c1Mnr3nWQrK5HPWdI1ISYRcKsfyb5bx7dezmb94PguWzmfR6kUsq12G53t0KO1A14pu9K7qTa92vSmJlsjZNl9W0xRNIe2kOe2BU1qen6EbPHDBQ/Ts2YNcMofn+ni2hxkxKW5X1NLGDRYE6blTjz/lIPsRRxxBRUUFd955508usy7tMKcuxyOPP8Gb993AAfdNIhwO0S5qUJN2SVgeRQGVpXNm8P5lx7Dd5U8R67Y1AU2lIKBKTz4BlRGNkK6yJuVKQucLlr31MNOfvo1tjzmfst2Ow1cULFcQtzxsX868SVkKiEyc1U9cRnbpHDqMvYk2fYeyVVmQvboU0LbAZPt2kU3GZQHMnTuX3XbbjRNOOIHrrrvuT/let6KVuP1usGLFCjp27IjwcvjL/gnNX4JTD25WihK8LAiXZFbjgbdcHn07RU2Dw6G7d+ToQ0cycrfD0Sv2QSRnQ241ACK3Cux1CKtWKlMBQp1RFHkiILIVhLvSsLaaL2fOZ9rM+UyfuYDps6pJZ3Koqobruht5cAHMnj2b/v37/68OTyu2cPiez/FHnsDKFSu4/bI7cG2XbDyHnZGK0Eh5lHAsRKAgQLRUKgQVVaFqq8qWC4BcMkfTmmbefvltLrjxb0x+fgrhghBOzsV3fTRT486Jd6CqKldf8g/qlzagmxqOJe07PM8j3ZghEDa55M6LmTRlEo77I/sQ3eC+a+9jSL+hKJqKGdSl+rPgB59CIQQ1S2o44qzDOWT/Qzj7tHN+WD+gU96tnJkvfk02mcNK5nAtl1zKIpvKUtOwlqX1y1i0biELVs9nWd0yygvK6d2uN73bbUXvDlvRtrgtT095kvdmvddibaIqKhXFldx3/v2onopru/n0hxDRkgihohCqqqJoCj127EEotrEa/Y+Or7/+mhEjRrB8+fJNRmFlXZ8v12TwhaA2ZXP26BH0Gz2G/vseTdrxCWgKGUeQ83w8Ifj6uftZ+cEEtr32FUqKS2hbYOL6Pk1ZjwJTo1dJgIaWOTYoDKhkFs7kicvPIFjRka3PuAliFaQdn5zrs777qSry5nqC5skTqXnxZir3OpGBfxnHoMooQ9tFGdkhQiyg/eRrra6uZtddd+Xggw/mtttua71A/hOilbj9DvDtt98ycOBA7r77bk476UDE0lsgPR/sOknYECRTWe59uY5bn8/QvX2As49oy/6jOhAq7irbncUjUUtGIux6iH8FgPDSkJ6P8F2wVoNqogSqEEIwZcYaHn1lKV/MXMSSJUvo2b0Dw7btyZBtezFs2BD6Dd4HMyS/IH3fx3XdlpvjOBQWFra6f7eiBQsXLmRA/wG89ODLtC2qAhTpUea4WGmbwjYxwiXhDVqi0ZIIRe2KNtrW2OPHkk3nuPLsK8k0ZVrSFFRDY/x9V9Kjew/OPvls4jUJMk1ZjJA0xLUzNrmkhaopOGGH/U7eD8f5way3orSCdx99b4Mqhh7QiFUWttxnZ2yStUnmLZvHCX8/nleffI2+vX8YGI+URFg7by3Nq5slOU3mpM9bzgEBqi4TFHxXkMqkWLi2mvlr5rNg7QIW1SwkEoiQyCY2aoUZusGIviM564BxCMdHC8hcVEVTURWFcEmEgrIolb0rCURMXMtFM3UixXI+78+APffck2HDhjF+/PiNHlvSbLEs/sN7/erECUy452b+8tDHJB2fyojB2rRL3JIq3/qMw3e3nYamaQw6/z6iAQ1XgCcERaZG77IgccsjqClkXB/fF9ge1Dc38+WDV1Mz/X22Hns14e32IW1Ljzdo6YajIHOhc6sWsOqB8wgXlzH22nvZdWBPAprC0LZhzM2ITZYtW8Yuu+zCrrvuyv3334+m/Tne418TM2fOZOjQoS1+pGPGjOHxxx//bZ/UT6CVqv8OcM8996BpKueeczYvP3EFZFeCVQNehmTG4canG+h+1Epe/9zlqcsq+ey+Lhy+aymhaLFsgfoehDoBoJhlEOwgf9ciYJShqDqEuuKHt+L1j5aw4+GPcPCpE6js2I977rmHhoYG5lcv57EJb3Da325l25HHtZA2kAPcpmkSDoeJxWKUlpa2krZWbICLL7yYQ/Y/hI4VHVEUFaFApChEVe8qeuzYnXBxmFwiR9PKJhK1SVRVIVYVa1lf+DKwPZvM8uZ7b3LYYYdhpy1yqRzZeCZvQO1TUVTJ4kWLyTRlyCWkoW6mMUO6MYPwBJqpYWcdYkaMvx7xVwKmJIqmYXL8wcdv1HrSdB0358oWpSNnywJRkx1G7sCZfz2L488cw7zqeS3L21lbZp2WhNHyVh26qaPpmlSM6ip6wAAE4WCYrTsP5MgdjuLqo/7BM3+fSJ9OfVDYuP3luA5T5k7m8/lTUXQVJ+eSbc7hZBxc28372eWoWVBDvCZBuilDYl2CmgXrSNYmyTRnsTObzoL9o+Ciiy7irrvuIpVKbfSY5W1IhPc9+DAUO0f9zEk4PjRZHtJpRpBxpW1Lt7E3kF4+j/lvPMK6tIvj+oQ0lbKwhi58EpbHyoSdtwFRUBXQwwUMOO16tj39Br59eDxz7z6PXKoZgPUufi326AIKOvZm5I2vUdGhC3efuCdzZs/G8QVrUpufH+7cuTOffvopn376Kccddxyu2zpv/N/AcRxOPPHE342JfCtx28KRyWR4+umn8Dwfx/U4+qzH+eyrxaRSOW56uobuhy/m9alJnrq8is/uKmWPwWEUfNk+tdaB0wi+gxKoRAgPkVsDegwR6QWBtiiF2+EU7MTTH2TZZu9bOf2KNzn4yL+yfMUqbr75Fvbcc0+Ki4sBULQgimr+xkekFb83fPH5F7z97tucc+q5FFYVEi0vIBwLST+y4jBmyMQIyXSCYCxIKBbE9wXZ5iznn38+AwcM5ISjT+CuW+7irn/ejZWz6Ne5LygKdlqqN33HI1mXorKokpU1q8gkcriOK60zLJdcKkeyIUWqLiWTC+JZjt7raAoKCgDwhc/oXQ+Qv3s+nutJUpjMYaUtWQkUgkhphGhZAYqqMG7sOI45/FgOPeEQPpv2GQDB/BycETBaDHgVaBEgCE/gWS6KKjNNNV1GY2mGRtpK81X1V/hi05mkrudy+0u3saZxtVSieh6e6+E5PnrQwM5Y2JkfWr++5xNfG2fpV8toWN5A7eI61i2sxbX+mCf5UaNG0b17dx566KGNHosYG57qDNPkkBNO44vn7qcsrNO+wKAooGK5AkcIfKFgRArpdfqtrHn5TpqqZ2HqCuURnQWT32L8nr1ZtWoVTTmftO2jqaBrkMx5CBSiA3enzzWv42YSVF95ILkF05CmN3mLTQUMBcKGQlEsylGX387II8Zy5ZjRVM/9lrTz87m07dq1Y/LkycyZM4fXXnvtlzmIf1Jce+21zJ49m4qKit/6qfxbaC2LbOF4/vnnN/jbdnz2GjebkphK+3KVpy4tYfchMRRhI/NXcvkILFPahvgWOHWI5FwUtwl8+cWuAJ5exoPPTuemm25G13X+/veLfjKxoRWt+P/i2aef5YC9DqCyTSUAgYhJICIvANINKRQUVE0lWBBsSSsAiNckcC2XOd/NYfbc2YSCISzLwvM9dtx3R3q060HP9r3o170f2/XfDs/2KQuXs7JmJZnGtHR7UMC1HOys09Iy1A0N4Qs0dP5x8TWc9rdT2abPNgT0IOnGNL7r49oeqqGiGbqMr7IcVF2VUVeOnKdTFIVxfx1HWayME8edwNmnnM1VN15FNi5n21RNkdmnliNn0AKKtAQRSK9FBTRDR9FkxealT1/c5Lzoj+F4Duc8cA53/vUuqsorMUOG9J9L2xghA9+TtisgyMZzKJqCETCwMzaBaAAn51C/rIGKnm3+cIPtiqJw0UUXcfbZZ3P22WdvMPtVGTFYHrdx/B8qb6MOO44n7ryR5MJZdB40hDU+sh3qS/sZVVUp7r0tHQ45m6X3n0fbG1/j+2lTmXr73wCom/EB7fc4hnVpF8/XsH2B7QssV2B5PsHiNnQ9+34aP3mOZXefQdsDzqRkj+NRFZmwgAJa3tevMevS59AzUDSD8/+yP9c+8Sqd9tmRqLn5FmhFRQXTpk0jHA7/Ogf1T4A5c+Zw3XXXoaoqt912G3/5y19+66f0s2glbls47rjjDrLZ3Ab35WyfRFow8a42dKxQJEFbr1lSBAgNVBV8O2/Kq0PjJESkL4oiv8yWLFvL8WddwLr6FDfeeCOHHnpo65xEK34VTJv+JUcdeNQmH8smcgSjAZysS6Y5i5/3ItODOpGSCDtuuyMP6A9g2RaZbKZlvZr6Gmrqa/h8zufoms5rN72O57hUFVfSnGoibaXRHQM7a8sWoQBVVTDCJpquoWoqbs5hp213IhQKsf8++4MCesBADStYaSmaiK+N4zkuTlZe8BhBg8KqGHrAIN2YJlmfYq9he9Huunb8456refmtl7l2/LVUOe2wUhbCkwTA93zpBecruPYP7RgjLNWzvucTMAN0bdutJQ0hnmhmbcNaADqUd8DUTeLpBM2pJs55eByjhx/A/kNHUxQrRCAQisB1PElQfSGzVwE/4hMqDmOlLDLxDE7OxUrnKG5fQqQk3KJK/SNg9OjRnHDCCcyaNYtBgwa13G9qCgPahPi+Pkc274lnhAsYduCxfPX8/ZT13lamVyAVoIqiENLl3+33OoFU9Qy+vPIosjXL8PNq32WfvEaXvY+jLKrLpEBfhsY35zxyWYEipJVN+S5HUdClL9V3nklmdTWdx4wnEAhhuT5px8fyfOpzgsKAyraHn4ZhGFw25gBCT73CmH12IqhvvjH2RyJtdipH9UufsvzDb7DiaQKFETrtNpCeh4zAjP7yBQXP8zjxxBNxHIczzzyT4cOH/+L7+DXQSty2YHz33XfMmTNnk4/lbMHu59fy5f2lFEVV6QOl6qDo3P9GhiVrfG48oxLFrgc1hHBT4HsIo5RHX5rN+Vc8yjGH7cI7V55MpMM+KOof58u7Fb8NcimLZG0SO2ujadK4Nlwa4ts533DDZTdsch1FUXByLqn6DeeS3JxLoiZBvx4DNrtPRVE474jz8XKSGBWEY0SCURYvXkLP9j1aTFZVXZUxUzkHAuAZUoWpKir9+/WnTZsKdENDz1flcskcdtaBH5nfgoztStQk6DGyB9l4lmhJBM3QGNV5FDuM3J5Hn36UsaeNpUenHpx16NkUaAW8+807tCtpR2G4kFg4RjRQgKZqskWqafi+j6ZrjNl9DKgKqqqysmEF4+48q+U1timq4NIjLsO3PVAVFqxZwAufPccpd45l/2GjOXSXwwgmAxgRk4LSCN6PZrpyqRypuiR21sHNE1Av52KlbArKo5R3LW+J2fq9Q9d1dt55Zz744IMNiBtAYUBjWNswzZZPxvH4rl6w01FjufbgYezbsJJQcXsEsmomhMBDIaJrFAQVSvoOZeHMDUPfGxZ+C6k4gWgZTVmPvP6AgKYQNVVStofvgy0EtO9P10tfYMW9ZzH/huPoetZdqAXlaC19dEjZPrNqsxw45lQ6FIc4/5gDKX7+NQ7fa9Svf+B+Y/iez7Rrn2X2g++gqApu9od5zFWTZ/PZZU8yYOxeDLv0qF80IeSWW25hxowZtG/fnuuuu46GhoZfbNu/Jv4Y/61/UNx3332oqrrJgUnXg6VrXQ6+PM5Ht1eAlg+29nyueqSWxqRHJGBx5UltwW4AYVHbaHPKNbOYMWcNEx84l71331FuzM+B+tMhzZuCEILGxkaWLFnCkiVLKCgoYJ999vklXnYrfofIxrM0rmhsGbx2fY9kXZJcMkenjp2Y881s2pe0x4yYG+RrFlbGqF1cv+mNKuCkbLbptQ3T5kzb6GFTN9lz+z3ZaeAonKyDETEJmTptS9uytmE1W3XdSpr75g1v14sLfE9gp20UXUEzdAqiMRLJBLHKGNlEDtdy0AwdVXUxAlpLsP16+AJWz1lNqj6F8AVGSCfgB0g3ZTlkl0PZoeuOPPbmo4y95iSO2uUvzF40mzcaXyeRSZCxMuiqTrvydnSu6EzH8k50KOtIx/KOtCkqR1FUkk6SSx++BNeXlR0hBLMWfc3axFo6lHUAIejfvT9bddyK6rXVTJj0FOPuPJNLjryMzpWdqVvaQLgohGu76KYm/fLSFt6PHPlRIVWfQlEU9IBOedfy/+r935Kw++678/LLL3PRRRdt9JiiKBQHNeozLrqq0KVTR7YavjPT33+NrgeeStjQyDg+rq+g5ZXPK999msXP3LTRtnQzwKqvPqR0nyMA8usJHN/HF4KcJ61CEFKYoBS2ocP5T1D71BUsuPpwupx1N5FOfdFUBQWBEAqO5/NNXY79jz0ZTTc48bDR9J76GQMGbP4C5vcM3/N5+7ibWTV5Dp7lbPT4ehI3+8F3aFywin2evOAXIW8LFixoybi99957KSgoaCVurfjvkMvleOyxx3CcDT/IqgpBQyHnCLbuFuCQnQtBC8m5NjfJBzOyJLM+vg83TmimbbnJ2IMLeGNyLSdfO5mRgzvw7VtnUlpaKjeoaKD++yXo6upq7r33Xp5++mkaGhooLy+na9eu7L///q3E7U+MeE0C8S/3eY5L08omdhm+Kx998RGjBu1MNp4lXBLBCOoIXxAuDrVUxUCSLNdyQQii5RHiaxKM3GYk3yz4hpz9w8iA9Dar4Lxjz8c0TXJJi0DERNFU+nTbikXrFrFXaG9ppKspODkHB1eGunuywiVcQeOKRvyEz8rqlVg75lrsM8ygSb2dJ5QKLZYjnuuhahrppjSqoiCENOhtWt2cV46qhINhzjx8HNt2HsT1E65nZL8RXHzYJXKWL6CQVjPMmz+PFbXLWV6/jI9nf8ya+tUEzSCd2nQmmU2QyGxoCaIqKi9OfoELjroATddwbfk6+nTqw/hj/8ELnz7P3x++gLMPOpsd+uyAqkE2YaEqCoqm4toemq6iKIrcrgr4kEtaNK9tJt2QJlIapbAyhhn+fQuQ9thjD8477zwymcxPthHrspIUty8wGLzrfrz1zMNU7ncKEUPFC+qkHcm4Vr75CEue/yfC21jQ4VpZVn/2OgP3OYKApiAQBHQFz1VayL4Q+XFGIZsimhmk7Uk30vDeIyy68Ti6/PV6CgftgadrgMDzYFXCYXXSYf+jTyRes4qTTz6Zzz///A/r1zbt2md/krT9GJ7lsGryHKZd+yzbX3H0f7VP3/c56aSTyOVyHH744ey///7/1fb+12glblso7r33XjIZOdMTCgWwcjZVbcLst30hew0NMmqbMAVhRSYlqBFw46AGuPeVOmxbfuHbLoy7vZY3vvCY+m2cOy8Zzl/264UaDoOfQXhZlGgvaQfyM3jnnXe44447+Pjjjzn00EN5+eWX2WabbVpUea3488KxfrCkkLNhAj2gYWdsfM9n1+G7ctLfT8Q/18fPCGoXrSNaEiFcEiG+Jo7neAhf4HkeuXgOVVcxQybpxixOzmFIn6FYjrXBPnVN55LDLyPXaKGValKRGpGq1B2G7MjdT90lW53IVINsLisJoSJnkVzLARR0VSekh6ivradpdTN2zqGwshAzaqKoCtl4Ft8T5OJZ9KCBGTax0xbZRBZNUzGCBinbJRfPYoQMzEiAbCKL8ARbdxvIzSfdzMWPXURlURV7b7cPGhpl4TJ2GjwS4Uuhhp11SDYlWFGzksfef5RV9as2Osau7zJ5zmRO3PtEykrLZRQYslqhGzpH734MXaq6cvvLt1K9vJpjdjsG35Y5m6qqkk1k0Q0dPaSjGbKKqGoKnuuhNCtk4zkiJWGMkEF513LadC//3c6+de/enaqqKj799FP23HPPTS4jBKQdn+Vxm0C/EdQtPIe1q1dSUtGe4oBGUQCWzPyMxc/euNl9rf72C/xcml6VxQTiCusykuB5AlQBQpUKUs/Pn2xVUIRC5T5/JdquK0vv/xvdY+UEem2LyItFMqpgedyhXYHJpZddxu7DtuGBBx7gtNNO+yUP0xYBO5Vj9oPv/CxpWw/Pcpj90Ltsd94h/9XM2913383UqVMpLi7ebNrGloo/JoX/nWPFihVcdNFFKIrCnrsM4Y5rT2HR1GtZMfUi7rl6P/Yf1Y6CojbSmy2Qj6jSi6hNRnlvenqDyofjwjtTG7j3ssEcvW+XDZVkZglEem/2ubiuy7hx4zjmmGPYYYcdWL58ORMmTGDkyJGtpO1PCiEEq1atYtmyZSxfvpxVK1exeP5i5s9awOLvl7Ji8QrqlzfQsKwB13Lp17MvVeVVvPrmqwhfkEtY1FTXsvTLZayavYp0UwY7a+NZHtGyKOGisJy5EgLN0CiNldK2rG3L/jVV4+z9z6GqtBJVVygoL6C8SxlGyCBWEWPYtsNYVbeK2qZaSU48D1XX5NyS5+FaLq7joWhKfs5NwReebCmmLHKJHLmkhaIqBKIB0OSJ3vd8cqkcVsZCMzSsrC1vaQvHdsk2Z0nWJUnVp0nUJcnE07QprGDsXmN5YtLjNGeaMKMmkaIwgUgQzZDKVCNgEI6EqWlaw/crv/vJ464pKi9OflGWbgDbclBUBUWRz21Ij8Fc+5frmbbgC66Z8A9SuZQkd64vbe6EwM9blLiOTK5wbU9GbamQbsyQXJdk2VfLWPz5YprXxn9W5bolQlEUdt99d95///2fXEZF8PnqNN/XZ1nmRCnoOYilX3xIbdphbcqhIedR1GsQW/31Gkp6DERRVPTAxkRB0zWaZn+Kpip0KTKpiuiogK6AqYOhQtRUCRl5FSlSKBHQFAoG7kLlweew5L5zyDXXtnxvG5rC8oRF1FToUh7j3nvv5eKLL6ampuZXOV6/Japf+lRGvv0HUBS53v8XS5cu5ZJLLgHkjNvvxQLkx2ituG1hmD17NnvvvTfHH388d/3zcszcXACEb0FqniRq9jpp86EXI6cnkqAaPPXeGkxDJWtt+GUrgLFXTadv3/7069tdBsgbRSjFI36It9oE4vE4RxxxBCtXrmTGjBl06dLl13vhrdii0dzczIcffsh7773Hu+++y6pVq6Ra8idO7GWFZfTv0p8RW49ktxG7sf/2+/P8W8+xfZcdyMazsm1oqC1CBs/zCBeGMSMmCuBYLiBQVBU76zC8z/a8OPkFeVLeZg+G9hqGZugECgIYQYNwcZhQYYhgLERFuwr6dO3LrOqv2SW0C07WwU7b+L7fcuGynqR5jkcynaIoUkKiLome0Mk25wgWBjDCBpk1GYTrg6pipSWp0wO69EtTwLVchOfjZl184aM58v9JUaR61Fd9BncbgqEbZEWWUEFQxmClLVzLRSkMYRYECCpBJk6eCMjZPdvd2CzX8Rze/uotDt3+MMJGGN/ycBUnLyxQED5UFVVx/THXc+dbd3HxkxdyyWGXUlXStiWkXghfloB86W9nBA2MoIGTdfKZsSE82yPdlCWRt2Mp61z6i3+efm0MGDCADz/88CcfX55wsFyf2oyHUATl2+1G3dcfUrbzXzA1FdsVoBh03uNItt7/aEpyDcz56HXmvTuRhpWL0HUDx7ZwLIvF7z/HUUccRtoRlIYMdAVq0i6r09JHMKSpJHwPTZHChZChEjNU6jIupbsdS3bZXBbfey79L36CcDBAaVAlrKu0CWmoisJee+3Fnnvuybnnnsuzzz77PzyKvz6Wf/jNBkKEfwdu1mbFpG/oN2b3/9c+x44dSzqdZuedd+bEE0/8f23jt0ZrxW0LwieffMLIkSM5/fTTeeCBBzDVbMtjihqASA8UPQahbqCaMmTeaQI1iNAKuPuFNRuRtvXIWR67Hvc0KxuLUcxylGg/FEXjqaee4rPPPtto+aVLl7L99tujKAqff/55K2n7k2LChAnssMMOlJWVcdVVVxGLxXjkkUfIZDJ4nqzWLP96OV+9MINJ937E2ze9y0tXv8zZB51LSaiUNWvWUL+knm3bD2LRShmf5louQpGCAStlkUtZWCmLdGOadGOaXNqSlaigiZa3Qti2i1QIFkWKOGH3EzGCBmbIAA98Vw7dK6pCKBagsG0h2w/anq8XzZSB7K4vL9NB2mYIefN9H9d2SaaThHRJqDzLI5fK0rSqiebVcTRDzuJ5rgcClPy8XH5jIASKpubTw5GtMFWRv/tyZs92HDK5DNFAFCtltfjBochKnuKDETC44+w7GX/01Ryzx7Fs13MwsXAhAAEjgJq38XFchwmTn0YzNfSQIYUWWdmqdm0XzdCIRmJceOhFDO09jMufuZyla5fiWV7eBsQmF5eKWd/z8R2fbDxDqiElq2/I15qNZ0jUJojXxFtsRX5PEEL8pL1R1vFZl3EpyitpdUWlcsjuJOdPh2wCx5eGur4QhDSFAkMjUl7FASeeziUvTOHi56dy4NhzKa9qB8DXn02ipqaexqxLU87FFjKQNKAq+AJcwNQgkI8nKwroBA2VsrCOoSp0PX48wspQ+8KN9CoJUBjUiAU01mV++C6//fbbefvttzdbRfw9woqn/6frPfjgg0yaNIlgMMgDDzzw/9rGloDWitsWgpdeeonjjjuOu+++mxNOOAEAoQY2WEbRIhDdCmG2kVFWXgb8FCgmU2cspqY+t6lNo2kKpq4ST+SYPns1nfrsgRLqiGVZnHrqqXiex+TJkxk6dCgAU6dO5cADD+Soo47i1ltvbY2v+hPCdV0uuOACnnzySa677jomTpxIhw4dNlrO932yCQsjYBAIBvByPgYmfaq2okdRDzzfI5eyUFWNPu378sXcz9lv8H6AhpN18T0fkTdF9RyPXNLC9ATBNrItFYgGCBeF6NJBXjhcesxlRGMRVF3FFwL/X6KMzLBJojbJwC4Dmfjms+imjp2xpcmtp8jkAsVDEZJc+a5POpcmYsohdjtjowckWRPCQS+NIAAnZ2METRSFlgF/RVFQNS0f+q4ghLQX8fhBvalqKg3N9SiKQoEZkyRPyPtlbqnS8toLSwrZpu+2DDGHcMiIQ7GzNo3NDSxcvZCFaxfy7dJvWbx2Ee/OeIdhPYbTr2PfvKWIimZo2Fkbx3JRhDQ0Pm7nMYT0MOOfu5ILD7iI3h23QpB/3ooCuqyYuikP4YOb83CyNpqhEy4Jk2pIk6xNEq9JUNWrgoLyAiKlkd+Fca/neT9J3GzPlyRcgbChYmqCWKfOzO7Qg9ScT4jueCCmphILwMA2YUxNQVcVBrQJ4vqCRLQXB25/GTf840pmffUlpx9/NDedcQSn3PUCZjgiPzu+IGqqRAMqWUegolFgIA11FUVmngY0Uq6HpUfpc849fH35wUzt3I+uux1KWPd5fl4TU1em2LYqzDalhVx77bWcdtppzJ07l1Ao9L89oL8SAoWR/9l6q1ev5oILLgDgyiuvpEePHv+vfW8JaD0jbwF47rnnOOmkk5g4ceKG6pZAlQyT/1EEjhBC3ocDmg5OFkhzy5MrcX7kNxUOauQsn7aVhYzeaxj77DGcnXYcTrT9D+XlN998EyEElmWx66678vnnnzN37lzGjh3LzTffzOmnn/4/ePWt2NLQ3NzMkUceycqVK5k+fTrdunX7yWWFJ4UILX+LvPWG6+N7PvhysF5TNWYv/5bZy79lrwF74/tWC4EhPz/mCsg0ZbDyCtH1gfOR0gjxlXHaFLdh+PDtSdencB0XVVdxLIdc2ibdlCZUECK+Ns7qOatpG2qH67rMmTeHTsWd8tUtIcUJmorwxA8JDZk4QSOMm3ORhS29pYKFIkmQZ/sIzwahoJsqqiZ92FRVwfc8VE1H1X3MsCkTC1Q5P6coCrWJWkpjZZgBA9d2UBQFM2yiamreN05W7QJhEz1gyNax45GsT1HslbBt10Fs23UQhw49DFVXef+b97j+xWs5asRf2Hfwfqiaiu8JNF3DybkIZJnHw+OgoQcR0oNc/+p1/O3ACxjQZev8rJ8vySuysiQQIMBKe6i6i6KAk3XQNBXVUEmsS+K5PnbWpqRDya/10fvF4HneT6oww6ZGUVAj5/mYqoKbv3BoO3RPmma8z5B9D6ckqBHQpR9bC4TA1FQiBqQcQdJ2KO65LRe9OI0Hzz+WB845igOum0Cdo+N4gqKgRtuogaooNOU8GrIuA8pDeEKAECyNO5iqiq9BqKID3U+7jW/vOB29XS+KO/dg/oxZNH03jfqZHxFfMZ+b7n2EcDjMM888w0knnfS/OIy/OjrtNpBVk2f/R+1SPWTScdeB//G+7rzzThKJBLFYjPbt2zNx4sSNlqmrq2v5fenSpS3LtG/fnh133PE/3uevhVbi9hvj2WefZezYsbz44ovstdde//Koio8G8S/ATUnbDqGAvQaMMsguA5Hju8VJ3pyyAoBgQGPUsK4csHsf9txrNJ07Vv2wOSO2wdYfeOABslnZjs1kMgwbNgxVVXn55Zd/Uo3Vij82qqurGT16ND169OCLL74gFottdnnN0AgXhfLxSip21sLLW1XUJ+p5ftpz2K7N2Xud88NKAnzbl6RNk6RNURX0oC49CxVIN2VQNZWC8gJUU2XJ6kX06tabQNjEiwXlTJbnt4gYmlc3o3fWSTemZeSTDz2relK9egEdizsi3B9V5hRQNdnOWlm7ksZUA73b9UbO1EnBgKLKYHvP9jAKpBJTCIFqqJimQSAWbDHrNSMBnIyNY7uoeUPd9fN0iqZQE6+hfZv2KKokgUbYIBeXKRG6qSF8MII64aIwuVROzuPlK3qKJqt7npuvEnqwe7896FTSidveupXF6xZzyp6nEi2IoBk6ZshED2p4rk8unkP4gr223ZtIJMJNr9zE2fudzaAu2+ErPrquowoVP6928F2pQFV1Fdd2UQxV7tvysNIWkdIImeYs0VJ7i7cM2VzFzVAVtm4TIrnKoyioYaUFnhB0HrEfC1+6l6CTJBwtYUBFiIWNFnHLI6wrzGtUKDI1oqZCSORb175AMUz2vvIhXrp4DG9ecQJ7jX+UtB4g5/o05zy6FwcoCWp0KTSIBTRSts+KhEPWFQQ0Fcf3SFsuthEm1LkfM685FmFnUVR5/IXroKga80U5x510Mg8++OAfhrj1PGQEn136xH+0jhByvf8UliVb/olEgmOPPfZnl58yZQpTpkwB4IADDmglbq2QePrppzn11FN56aWXNiJKwmnEr30d4jMgsxycBmSklQqKDnoz6BHmL06z77gZdGkb4sHLtmbEsD4YsS5glKGEqjbcYaCy5de6ujo++uijH/YnBNlsluLiYvr06fMrvupWbKlYunQpw4YNY+zYsVx33XX/dgRarE0MJ+fi+z71S+oRvs/7s95jwqdPM6jLdhy9wzEATDjjXwarFVpmxDRTIxAJtERDhQtDGGGTSKlsPVUvr6Zv7z5S5ako+DEfO21JsmdLpWjT6iaZSWrKyKeq0rasa14nK2uKnG+D9VVB0FSVqYs+Y3CPIYSDYXxP4HvuDykLqoJmqgiBNA429JYqW2FloZzVQ9CmbSF2xiFZmyBZm0LVpF8aQqDqGisbVtC1bVcC0SDC9zFMHdfU8VwPN+fK14SCUAShwjC5eJZMIkc2mW2peqFpeI4MlVcUhV7te3Hzif/klpdv4vIJl3LpXy6jU6fO6OU6btbFzlj4YVPOvZkaowbsTMgMccebd3DKHiezQ68R+LaPFlAJRAO4jotv+egBTfq+OR6kbIyISTZvdbK+PZzNCzRySQtFke3sX9LN/peA7/ub/fz2Lw/iC0HM1FioW9RnXUp69OSbLj1pmDGJ/Y4/npTtE9RVdEWhPKLJGTWgMedTmBeY6qpCyvZJ+CY7XfYQk646njeuHMv+Vz9CJGRiqioVEYOioEZAk9W9+Q050o5PzvNwhCBVs4IZlxyA7+QjCvPCFLGB77og1LEXvdpvzZxLLuSbb75h4MCBv9bh+5/BjAYZcPLe/7YliBYwGDB2r18l/ur3hC3rv+1PhCeffJJTTz2VV199dWPSJjz8hslQ+w4k54C1Ulbc3BRYNWCtgcx8ps1cyE5jp3PMvu2pfnUEOw8uQg+VINQQBNtvuEOjaIP7nnnmGUxz46vmZDLJjjvuSG1t7a/xsluxhcLzPI499liOPPJIbrzxxv8otzZSEqGkfTFlnUqxDIsbXr6BV796hfP3/Rtn7HEmZQVlG62j6LKqRb7SFogEZJanLr3RAtEA+EKGzqsKi1YsYrth28mWoKHi5Gx0U0c3ZVtTCEHjqiYaljWQbc7i2C4VBRXUNNXI6x1NRkmpmtoSao8KU+ZOZueBO7f4yOlG/itRSEKiGwZm2CBSFCYYCxIuChEqCqOoSov9SKQoQqdtOtB/734UVEQJRgLopk4gGqSgNMqSdUvp1q4buqFR3KEYVZck1QybkkqqCpGSMGbQRDNUwqURzKCBpqsYpi5P5gKEImenhCLVtqWxUq454Tp6tu/J3x46nwWr5qOqCmbYoKC8gFh5AUbQAF+2tIf0GMoFB1zAA+8/wJfVXyKEwHU9maeqqIDAz1cZ1ycqSLNfl+S6BHWL62he3UztolpWzVlN48pGGlY0snZ+zUaRZb81crncJr/fAJpzHjPWZqhusvAEbFMZ4uSBpVy5YyVnnnAMyRnvUBHRWZt2COsK3YsNOheatCswUBSFpO2xLu2wuNni89Upvm/IsSblUOuZDLroIeLNTbz2j9NxHYeKiE7EUGWoPFAS1LE8galB0vJJWR5erA3Bdj3lhcwm1MQAkaouqEaArBHhyCOP5KGHHvq1Dt3/HMMuPYr2O/VHCxibXU4LGHTYqT/DLt107vHP4fbbb28RJv3UbenSpS3LjxkzpuX+V1999f+1z18LrcTtN8Djjz/OGWecweuvv85uu+220eMitxoaPpSKUacZ3DR4SfASUpTgO7w9tYm9zvyKy//anWvO3hFFLwKzCqVoCErlISiRHqDHJGGLbgWFQzaw/vhxm/THcF2XtWvXstNOO9Hc3PyrHYNWbFm48cYbqa+v55Zbbvl/rR8ti/LdqrmcfuupBENB/nnSbfTt2G+Tyyr5PM5gNEioMESoIIRuaLg5Of8VKQmTacqSS+WkD5nmM3/RfHbZZxcqepRLYYIrcHIOmaYMmXiWdGMKK2nlq1Ky9VdeUE5Nc40UPyigBTSiJRGpSI2YfLXsKwQwfMBwdFPHDBmohkYwFiRUFMIMmai6SkFplMrelXQc2IGyzmWUdS6lff92dBjYnvb921GZH9w3wyYV3Suo6lNFRY82FFbEwISFK6vp1b43tuVgBiQ5M8IGocIQRe0KaduvLSUdS+Rc27okqbo06eYMdtrBzpsbCyHJlaqrqIqKAqi6QnFFMReM+TtH7nIU5995Hm9NfgsnJ609VEPFDJsbWKD07ziAM/c6i3veu5u5K+fg5WQb1HM8hCIzTEXetFc1NWldkrKwMjaNKxqpW1xH3eJ66pc20LiykcaVTTSubGLt/BoyzZn/12fn18CqVato167dRvevSzt8siLFtLVpalIOcctlRdzm+3qL5pzPsX85ksmTP2HK59PRFNkKXZ1yWdhk4/iCoK6QcXyqGy2ash5rUy5ZR7ZE4zkfR48w5NLHSKxdwaSbz4O8DQiQXy+LqSnkXEHO9cl6AhuDjuPuxyiuhE1lRisK5X2H4PqCiKFy8skn8/TTT5NO//+UlVsaVE1lnycvYMDJe6MFTfTQhoRbD5loQZMBJ+/N3r9Q3NXvHa2t0v8xHn30Uc4++2zeeOMNRo0atemFMktka9SLg58F3wFh52vnghcn25x4c4JH/l7CYbur4NRCsAMUDUPRomCUougFEOm1yc1/9913VFdX/+RzNAyD+fPn8/7773P44Yf/9y+6FVssHMfhlFNO4fHHH2f69Ok/GRG0OQghuPnmmxk/fjy33PRPeopeZJsyZJM5nMy/tD8UWiprqqFS1qkUz/bJxDOYEZ2CNlGC+TaIamhEyiIsWruIwsJCOnXsxIpvVtK0ognHclA1TQojfEE2YRGIBmT70XIQnqCyuIra+DoEAk2VMVZCgUAkQDwT56G3H2DckeOIFEcwgmY+d9SgpH0xdtYm05RB0VSKOhQTikkVXyAaoLRTScvfG740JV8p0wgWBDHDJh9P+piyojKqyqrQTR3f92ROqqYQLgzLCqMpVazJ+iTZpiyqJmfMfN+XAfe+PG5yUiJfOdQ1dFP613mOx/7DRtOhvAPXP3Md1UurGbv/WDRVJ1wcQtNUkvUpKQYxVYb3HY7lW9zy6s1cesjldK/ojouLqqiyqidkW9mz3JZZO9/1yTbn0IIaVsYm3ZAiGAtSUFGA4ilkmjKsnrOG7jt0+48NVX8NrFy5kuHDh29wny9km3J1yv5xyhoAdRmHRc0WW5VWcvx5l3HLOWMY9/gHRAqLAbBcn5qUQ2lQpzHnUWBqrEu7rE25pB0fXQVNVdBVlVCsiD2ufppJlx3J89ddwOC778NyBWuSDo05j5qMQ03SIecJnHyeqRKK0em8x1nyj4PxMwn4kY26agYp6rktqqLQryxIp25D6dSpE88//3yLA8HvHaqmsv0VR7PdeYdQ/dKnrJj0DVY8TaAwQsddB9LzkBF/+vboj9FKXf+HWE/a3nzzzZ8mbYBwGsCuAy8Hws2TNhfwmPBhhpNujvPs5TEOGxUC4UhbEDRpyGuWS9K2GTz22GMbGKeqqkooFMIwDHbZZRduvfVWVq1a1Ura/sAQQvDSSy/RtWtXHnvsMaLRKNttt91/vJ1UKsWRRx7J3XffzeTJkzntjFMp61RKpCRCsCCIHtTkt0yeeKiaimrKuSojZBKrKiRWWUCkJExR28IW0qZoKgXlUXIJi+lfTmfIkCE0rGgkuS6BZur4nsC1XWmi6/uoeb83BQVFlb5qbYrb4Hou8UxcqjxV0DSNaHmEh997kAE9BjB67wPlc43KVm2wQCpZzZBJpCRCQVm0JfpJURRiFbFNkjYAI2SgBw0KKgpkYoPweOjFBxmz3/GYpkG0NArI1rDv+FgZm0BBAEVVZCpDIicVor4kmgo/IkBCvrb1qQm+5+N7HpnGDML1MMI62/bcllvG/pOv5k/nykeuIJVJIXzQAzqBsIkRNjBMA8/12bHnjhyx41Fc/8p1rIqvwjANNEOSQTNkYAQMFF1FVRU8x8NK27iei5N1yMQzZJqzZOJZ3NwPGZ65ZI5sYuMq/m+BFStW0LFjxw3ua855xC0P518sZNYjbnnMb7A4/ORxdO8zgGfHn9XyPWl5gu8bLOY1ZMm5PisTNtWNOdKORy5f4VUVaebnA26kmANueJpl30zl9iv+Rl3GIW551GZcGjMe0YBKgakS1H54l43StnQ471EUfcOWoe/YRLttTYeYQcdCWUE9+eSTf9c+ZD8FMxqk35jd2efJCzjotavY58kL6Ddm91bS9i9oJW7/I/yYtO20006bXEY4zfhNUyE5G3xZXcN3JTnD47F3cpx+e5oXxxex7/CoXEkJyqB4kQO3GQq23uzzsCyL2267DSEEuq5TUlLCmDFjeP7552lubmbSpEmccsopm2wztOKPgSlTpjBw4ECOPvpoVq2SuZgHHXTQZtex0hbxmgTxmgROPgN00aJFDB8+nNraWmbOnNlC/GKVhZR0LKGqdyVFbYsIxULoIR09qKMFNIyAgW5qFLUtoqgiRtutqv6PvfMOm6Msv/9n+vbdt9f03kFC7yAlgCAdkSoqoIhgAUREEAIoKIqKdAFROkjHQgm9l4QQSG9vb9t3pz6/P57NhpAEUIFv/JlzXbmSzLaZZ8ucue/7nEPzxGailTZmOBUm1ZJEN3WEELz66qvMmDqDUlrmhoYTIYyQIU1oLR1dU2U1y5MxVtKDTRAyQ9Qn6hl0BrCiVtXC44mXn+CtxW8x+8ezJaEJGZVKW4rm8c1yPqw5QfPEZhrG1NM4poGathTNE5pINK5/USSEwLVlezLVmsSwDGraarj3qXvRNI0vzzqY5knNRFJhPEeG1CuanLOLpGSFM/ADVE1D1VTsvI3ruGtD5iuVtjUCi75ML+93vS+juxwXu+ziuwFWPMTYceP49Wm/AQW+89vTeHfhfDRTQzFUAj/ArVQjRQD7Tt+HfbfYl1/+9XICAhRNzu2phlwn3/VR17TuFPBKHnaujFtycW3Zps59YLZN1VXK2Q17SX7eyOfz1TnNnOOzaNDmrZ4SHTkX1xfknICugsuqjMOKrENX3qOv4FFw5Xzf2Vf8gf7lC3ni5t/gB9BT8LArBM3UpA9b2Rf4FW9nTZXq35IvFaoFR1AMN7Dbhbfx1GMPc90vLmTBQInuvEvO8QkExE2NqKlhVvybASLDJ9N+6m+l1VMFqm7QPnIMEUNjyZCcgTv66KN55ZVX6Onp+VzXdTM2DWxulX4OuPHGGznjjDN45JFH2GWXXda7XQQOZN9AlLugMB/KqyAogF9CXmILrnmwzI9uKPLg7AS7zlhjzKvIalzgATr4eRR14wOeruty9NFHoygKJ510Eqeeeipf+MIX/isMNTfj34cIArIr+3jt2Ze44NeX8tLc16upBwCWZTF9+vSNPFYwuGqQ0gdOyLm+HC+89QInn/5NTjzxRH7xi1+sY9JcP6oOOy/vn2xKVnzaBL7rYYSlP5umq5hhg/xAAStuYUWtqm/bBvfDE4ggoJguyuF5FdyCWyFrkpSggO/4sv2oGiDANEx8AkLJELqh05Xu4td3X8mlZ19K27D2qq2FX8ns1K21x6GoCnXD6wjFN361nx/Ik+vNy2QFZBs21Zrk9Zfe5DfX/5o/XHQNde216IZGYaCAqsmKYKQmiqZL7zZFUYjXx+hd0scV1/6CHSfuTHtK2oegUq2yrUlnuOKhK+gc7OD3p1xNo95ESEjPNeEFmGGThtZGLvnWZdz55B18//ff41uHf5v9d9gf4QtpRqwqVXuTg7c9hOcWPMucuU+z18y9q0pfz/Fk1Fdl3Mh3/ErVVEH4a6v1paESXmMc3dQ/cp0+b8yaNYsHH3yQ0VvtzHsDJVbnXNK2z8JBm+68R9xSqQupZGyBV/kehDSFiK7iBh6NyRQXXnMbP/jql+hZvogdT72A2to6JtSFWJnNY/uCkKZQCASGquIGAY4PSUupmvtqmkpN+wh2/9ltPP7DL2M3T6J+5l4oCtiBgqlA3FAQQiMo+TjS3o3YtF1oOerHdN1+MQQ+8RETMXWd1pjBqpxDKqTRUFvLhAkTeOWVV9b1/tyM/wgjR45ce8G0CWNzxe0zxo033siZZ565UdIGQO5tKUTwBhFuVs6yCU/GWilhfnOfy49vLPHIpXF2naEDvqzCCU9W23CleKGwmKC8eoMvUSqVOPjgg1m6dCmdnZ3ccMMNbLXVVptJ238hfNcjt7qfzPIe7OxHD4QLIXjz8ec57msnsM+Jh/Li26/hed46P066rjN+/PgNPj4/kF+HtHmexy9++wtOPPkEfvWLX20wWSNWF6VhdD01bSnqRtaSbEliRk1C8RDhRKjSkgyh6Rpm1MRzfDb2KbQiJk3NTfT195Hry1cHkzVdVqcUTaYPxOpj1dmqD1aq8uU8sVAUAtATGudfdx4nfOUEDj74EMLJEDXtKWJ1USI1YcyIQeAHGCGpFm0e3/SRZKQwWCDdmamSNoBSpsiSV5bxvXPP4OjDvsq2M7elMFBgcHUa35PedZouLUVA2lYkmhKEa8IUCwUcz+XsG8/iZ7dfwLyVb2MYOqqmoOkamqYxZ8EcOgZW4wcB1/3tWgI/qMZXuWWPcq5MYSCPqih844hv8PPTL+fWR2/hlkdvxjB1rJhJKBaqtEN1LMvi0O0P454X7sFxHAI3kMrSSuVJURTZhq4kRlStThQ5YqGoUMqUCSVCWDGLUGLTIG+HH344d999D6905nilq8h7A2WWpx3yjk/a9liRcXh3wKZUqaJZukIAtMUN+ooeRTdg3NQZ3PSPVyjns9x44p6sfOWfDJR8PCFQAEtXMXUI6UplfcAL5IxgxJBB8iFNIdwyii1PvZS3/3AObv9KHB9sT5Bz5fxgXVgjbqkYUuiMqkBq16Oo21N6jenxGsbWmKRCsoLYlZcV7+22246XX375/2B1N+P/Gpsrbp8hrr32Wn74wx/y8MMPb5S0Cb8ATn/lP55sdwYeaGEQPpfdnuOXt+f52+W1zByvUb38rrjAy78t8PNgjIPCovWsQHK5HAceeCCO4/DUU0+RSqU+q0PejP8QpYEsdrqAaupEm2vQjHW/ormOfgbeXYX4wIxipCFJw4zRKKqCb7vSF63yuGJvmv2PP4yegb6NXkmWy+WNErfC4FrlWkdXB9855zQy2SwP/vkhps/YcJVOURTqKnNupUyJVFuKjnmdOCUXRZEzV4qiEE6GMUIGnu2Rak2S6czwwT3UDY2a9hraWtt48m9P0r9DPyIQ1ZgsIUSFwCk0jmmgdzEURQGv7KFHdFRNlXFWoRhBEPDQ8w/R1tLGD087C4DAE3i2R35g7TGqmopXdtEbYgghKq1hB1XXiNZEKp5rkhzmenPrHXuuL88Nf7mewaEhzjrtLHR0+RxFl2hdVCYtBNIc14gYdMzrpG9JP8V0kVAozHcOP52vfvGr3P/k/Vz1yFWkojV8aeaX2HHSjhRLJW6dczOuL0/cby59kzeWvcHMcTPxHQ9N1wmCAN/2CTxpALz19K35w0+v4dizj2GXrXZlVMNoCkN5fCeoEt0dJ+zIvS/ewzPz5rDX1nujagoBsvxjRgzsgi3XPQhkJcnQMCvzfGbMIpwIEa2JoFe8+DYF7LjLrpS8gIt/cBrjj/sxRTWMFwg0BcK6SskLKDoCBZ/hSZNhcem15gSC0SkTpzIH50bqOfSSm3nnb3fzl5+exttPzGL8secST6YI6ZLAhQ2VWksl4wQYqkLM1Ah/wAJEURTatp9F3zsv8dqV32OHi27HU2RnxBOCsKbRHNUJhIetBngBuD60Hf5D0i8+QCSWZFzt2nVds2/bbrst99577+e7sJuxSUAR/w11wf9CXH755cyePZtHHnmEHXfccaP3E06fNNkFAqcfeu6DcifCS3PuNb3c8niWx35Rz4zRleBqVasIFgSoFmgRCA0HowaS26DGp0DtriianJ3p6+tj//33p6amhvvuu49o9N/LhtuMzxa+67H6mXlklvUQeD5GNES4PknTlqOJNNUQeD5eyabj+QWUh3K4hTKqrhGujaOFTDTLQFEVvJIjMxgbU9ROGEZ6SSfPP/Us37r4LAaGBrHd9X2iVFWlXC5jGOu32TvmdyICwWNPPMYPf/oDDtj7AH76wwsIh8Popk7zhKZPdHy9i/vI9mbxbA9FVbCiVrUtqQCtU1vxXZ/iUFFWvcLSLqM4VOLd599l1rH7cspB32LXLdbMh8o5LTNqEquLkWiKM7hyUJrxupLE5EtZ9jt9P+675K+0DG+mdWorxVKRWDRWfd0P//h5jodbdhGBnKVTPhSbFKuLYkZM3LJLuiNdEUrI7EsRBLz07EuccPYJXHfRDcyYMh0RCAqDBZySQ6QmihUxKWXLaKaKV/LwXV9mV3oyJzSSiiAQlIZK9Hb08ey7z/DgSw9QdsrUxmpZ3rcCz1+r1E3FUlz33RswVCku8CsxXUZIrl/tsBrMmMnlv7qcZ96aw6++eSW6ruO7QTUZIvB9nnrnKf76yv1cc8Z1GIaGUBUC28eImdh5m+JgUc7loYCmEK2LEK2JIfwAKxbCilvSRDlkkGxJ0TC6Hs345F6Anzbe7i1x8zPvcOdF3yXTvZrJp15GZPzW+IEgrKvoqvwJTZgaw5Mm7XH52R+dsoiZKg0RndaYziudRWw/YHnGJd3Tye2zv0fH4vfY6luXMnWHPagN68RMlbzj01PwGZkyUFHoLsj3KBDQX/KI6Ar9mRJP/egQWrbciSnHnkMgBCVXEDU1BJCzXfKuwPYFQWV2LvP0n8nNncMVt97PsKTsW7fFDCbUhXjzzTfZbbfdGBoa2mi812b8/4nNFbdPGUIIzj//fK655hqeeuopttxyy49+gPoBhZozAHYXgZvlO7/q4tGXijx9ZT3jhxlAAKoOqKAYlZp6WFbm9BjocQivGwK+ZMkS9t13X7baaituueUWLGvTuBrejPWx9OFX6H59kTQ+DZuUh/Lku4fIre4jMawBFIXsyl4yy7oxYuFqizvfOYARsfBdn4ZpIykP5in1Z+ibt5zu1xcRbkgxXK/hrrN+w68e+CMPvvBPPN9b57Wbm5s3SNoAfMXnJ7N/wl8fvZ+f//QXHLD3AdXbjNBHG2aCbAVef/31HLr/obLtuAHBcyghj0c3dRJNCQI/IN+fZ9kry+lZ2IOddzj5y6dw7V//wFbjtiIWjRH4At3UiKQimGGjWgEqZUv4XoCma7yx+E3GDBtDQ2M90boYqqpWSRuAoqtyjgv5vc33F3AKMhanMChn7z6oIrUL0sss0ZxA0zUGVg7iuwFmSJrkluwi5/7yXI750rGMaxsn/eNAiig8aWYbrY1Wnkt6p62JxpKVOEEpW8aMGGiWTsvIZr7cejCzttuPu5+8i9ue/tN6a1coF/jLM7fx3aO+SxCAXbRlFmrIwAybaKaGV/L42uEn8fy853m/830mtU3Gd300QxoSo8AeW+3JfS/dy5y3nmLv7fZBIHBdH3egIFMkKrNtQtOwQiaKospZN0XBdzwGluYIAoFuaAysGGRw5SATd59QVft+nvACwfsDNsmmdna98DZev/8m3rj06yQnb0eoZSThhnZqmtuxUvUU8oN0ZXt5NdNDy7ARDD/uayzPOBScgN6ChwASlk5DRCAaWzjisj/x5D1/4oXLT6Njh1ns850LiDXV0RIzGZFUaI7oLMnY1aqeqkBEV4mZKnYszJE/u5ZbTt2PSTN3JDF9VywdNKCv5DFYDnB9ZBsaeVGRnLgtK++8giUDeZpjNVi6SluFZE6bNg3XdXnvvfc2p938j2EzcfsUEQQBZ555Jvfeey/PPPMMkyZN+tjHKHoMYdZL093SItzA4msXd/Lae0Xm/LqG4Y2V6WRFBy0qywRqCijL+TbVACMJscmoegL0BIoW4bXXXmP//ffnmGOO4fLLL998RbYJo+PFBSx99JWqt9SaFqCdzhMEguatxlI/bRSZJV0U+7OYJQcrEaE0kMPJFyn1Zoi310lbCXftvNXgu6vwvWXSkVzAt7Y8kDrCXP/s/eiaXiVwH2yTiiCQbTfLYPHixRx6xKFoisZjdz7O8Pa19goKEKv/+OrtnXfeyezZsznuuOMIbDkc/0GomkqyeW0eahAE9C/rl/Njq9N4ZVkB23X6bjzy/CP8/q+/48cn/hg9ZCECQAg0Q0MzNBQEXsnDc2UawBPPPsH2U7YnVBMi2bQuYwzFLIywQa5PqiJLmVKVtAWebDV6jsfgikGitVHMqEFxqISiKNh5G1VXKaVLeK6PFzYxoyaXXfNzIlaEo/b8CkZo7U+rGTJwiy4iCAgq83BuxUZDDxkEFWGECAKcki+rcJW1AIjUhJmzYI4kTx9qkLiey0PPP8TBsw5l/PDx8nYhCNeECcVC+LZMnojXxrjl0lvI9xbI9eVkWoKmEK4NU87IpIk9ZuzJ8+++wF7b7U3gBqiWhpNxpNrVUBG+gkDg+R5qWcU1XSKpMPn+ypxlILALNk7ZJdeXJxABE3ebgG5+vqcZPxCkbY+8G6CqGiNnnUB0ys4MvvU0dt9qBt9+lr4nO3Cyg5ipemINLdQ0thBrH8vrPUWaIjptMYOegkdfyWNU0qAlZuAGgrQdsNthxzFhu9159qqzue3re3Loj67g6IO/xIymCF4gUBRZacvZAQpQG4K86zM8YdDQPIHDzv459/3iTA686lGKkUYcP2Cg7OH48nEqgAJRXUUbMR49HKNzwRuU2/dg65YQMVNWMnVdZ+bMmbz88subidv/GDYTt08Jvu/zjW98g6effppnn32WUaNGffIHx6dDaSXlYoGvnDOPFV0OT/+mjaYaTapGFZDumSHQo5W5tgioEdBCEJmAEhkjc0xjk3j88cc54ogjuOCCC/je9773WR3yZnwKSC/tpueNxVXSFrgepf4MgeMhFAXN1Mks75F/lnXjlRxUyyBUE0N4Pl7JoTyYo9SfZWhpDzVjWgg3JFF1jXKmgKprFLoGMeIRBooZ7n71H3x9u4N4r9jJq++9je04zJgxg8DzGVrYQa5jABEEPPPmS3z30h9z4tdO5Pyzz6c0WJYtQaQwINmS/Nh5Jtd1Of/887ngAtlatUZZFAeLFNNFRCVSKlYXXefEXhwq4pRcyjl7HZKiKArnHPsjTr/yNO74xx0cd+Bx6DFZZQvFLYY60uQGC1BRTNq2zavvvcJRs35FXXstTeObpMhCCELxEKF4CKfoVImbnberrxUIcMpuNZsz359HGVLwHR8rapHtyeK7Aa7tURwqUqDA84ue4+mXn+Kas64DV8jsVl9ghHTZ0k7JGbA1aygCgWpqRBJh2UotuiiKSiiq4zmSuAlfYIYN7p9zPz0D3RudUfQDn/OvOo+bL7wVM2QQSoYww6YklbaLVonx0lUNpRKJFfjy2HxbWqgoKGwxckvue+FeCtkiVsgCAZqhy1k4T5r3KiigVexLdI38QBHfl+ISt+iuJaSWTsfcDhAwauZIonWf34iGqSnYXoAXCGrDmrTuaB2N1TxKzqTpCuNqLUqebLeHDIVhcZPBsofrC0xNwdAUYqZKb1HQkfMYV6syWPIJhMANBM3tw/jRdffw8oO3c9sF32Lw5Ue56Q+/paG2lv3HJtnF9ugq+JQ9H1NTsX2f17tKZJ2AsbsfTMuTf+O1my9j2rd/RcYJ8HxYYy8nKn9UVZK35uk7kHv3JaYdvR+14XVP2VtvvTWvv/76/zdGvJvxybCZuH0KsG2bY489lnfeeYdnn332X/ZAU1SLIW84h572FKWCzxNXb0VNtAgE4LtSQarokrTpMUncjBpJ5GITURJboZiNEBnFLbfdx7e//W1uvPFGjjrqqM/mgDfjU4EQgtzKXhRFcm4RQLF3CCdXxnfknJVmGfiOi6Jq+K4n1YODOUq9Q4TrU4DAKzsouobIFhh8fzWJsoNW8UCz03mMeAQsjUsfuYWth0/myK33pmWbCTyfW8R3v3cm06dPp/fNJZQGcwghuOauW/j97Tdy8ennctyJx1PTXEOqUWAXHRTkXNknUSPffPPNqKrKcccdB8hZulh9jFh9bKOPWeMDFviy3SmTAmQbsS5ex8XfvoQzrjid8SPHs+v2uxBOhqrh9oV0EU1VQVWYu/gtTMNkbOtY+pb20zS+iVRLcp3XMiMm4USYYqYoEwrWvC++HNyvRkUFAQhFJgYMFog3JvBsF6fkoJkayzuWceVffsXPTv0ZDakGfNfHK7t4ZZd57y7kr8/ez5WXXolhmISTIfJ9eRRNrdpqWFGLYrqIooIe0mWGaSDXW9NV/vjQTQQiwDIs/MBfr9UNsKJ7Bb+78yq+d8IP0AyN3EAe3/Zxija+HxC4PlY8RDlbxncDKfAQAkLS7FjVVMa0jiFshpm/4h2mjZiO8AWu40oWoYDiVd5zRZoB5/vy0oZEiOqcn6KBoqr4no9TdHHLLh3vdjF6m5HrWK18llAUheaowZK0g6ZAc1QnaamszLh4QlAX1miNmQQB1IY1hiV0hkoBIV2RpM8XOL4gZqrETI2849Ob91idc6h0v4kZGlknYNuDjmaPvfbi6vPPZMqUKVxzzTUcdNBBxC2dqKmxeMihu+DiBYLGqE6Aj+0Ldj/5PG49cVca9nwdv30alVQ2Aqi+hh+Aqau0T96S1Qtfoya0/szg8OHDefrppz+Xdd2MTQebidt/iFwux8EHH0wmk2HOnDk0NDR85P2F3V3xabNBi0F4JO8t7uLALx3BhGEmf/3FNsTCqvzWCl8KEIQHegrMJqQ5VT0kt0VJboUSnSivnH2fCy+8kKuuuoqHH36Y3Xff/XM5/s349xE4Hp7tYiaiGPEI+Y4B7Gyp4nvm49seXtkhcD1CtfFKe0ullC8h/IDAH0IzNIIgQJR9VE3FL7vVdqeVCKOoKnauyE3v/YOy43D6rkcSaUyhhy2O3OlgjvjKUeiOoO/NpRTLJc7+1c94Y8Fc7rj8eqaOm0huZR+p0S1opk4o9slnJPP5PBdeeOEG7ULsgo1TdFA1lVAihKIoFAYLlLNl0p2ZtQkLuooRNgi8AKfoIICxzWM5/fDv8rMbLuTWMX9iRHgkg/156U+mKHiOTyACnn57DjtP3RnfCXDLLj0Lexm1zcj19rN2WI1smfZkccsemqkDglhNFLvSOkWAXShTztpyX0oOpXQJEJScMpf8ZTaH7HEo207ejgBB4HqYMRNVVRk9ZjTv3fo+58z+EVde/CvqRtSRakvR/V4Pg6sGQcjEBSsmDYJBEK6JSN80VaGUKfLLb/+Sjv5O0rkhBjODpIsZ+of6SJcy5EpZMrkMxXKRe5+8l+aWFg7b/XA0oSKENNx1ii6+41HKltF1FQHVyp9ne6i6tFQhgGO/eCwRIyyJnS8IPPm3qKrYqf69piIZeIHMOkWgeAq6qYAOqqbgllzsfJnCUIFkc3K99f+sMLE+xIqsS1fewRdSSTqtwUJTFVIh6YnmBoKIruAEUPYFayIwhZARV6amMTJp0lvwGCh6CBQMDZKWhqkqDJUCBko+Y2sauOYv9/HaY/dwwgkncOCBB/Kb3/yGVa5FX3EtyY4YGg1hWJl1sGqbmXLIybx788VM/PEdGKqCJ0AR0g5ECHB9gaUqjBo9mhfn3E1NaP3TdUtLC11dXZ/Xsm7GJoLNxO0/QG9vL7NmzaKuro6nnnqKWGzjlQQAkX8PSsvWbvByPPzwAxxzyuWcdtIsLvhaA2ppKbiD0sONyryS2QChEVC/L4pqQfILKGYjiiJ/afr7+/nqV7/KsmXLeO6555g6dcPh3puxaUE1pBdZqDZOtKmG7PIefNvFK9sIX0AgUHQVtyDbhlpFQKCoKoEvcAtlfNNAUWUFxCmU5KyUkJU6J1fG93ye7ZrHsz1vc9GMo8kt7MIbKNA4fTSB51OTSjG0uJNV3R2cfOEPSMbi/PWqW2moqQPkybk8lCfalPrEx7Vo0SIOPvhgpkyZwmGHHVbdHvgBAysG1xIigNXSM0yrtEsVVZI4pXLyCsUlsUMFz/YJPJ+D9j6IkRNHMmz4MDxbzsBJohEQBAGu4/DC/Bf46Vd/iud4ktC50uPsw75siqqQaIwzfMvhpLsyAGS7Mkj2qOAUypVBfmk7ouq6nFxQBG7J5Zd3X0F9qh5VKLz57ptMHDZJqnRzNqqmEovFuPqnV3PSj7/Gxb++mNk/vQTN0Gga10i8IU66Y0gO9VuyQhpNRTAiJqVMka4F3TgFl1Eto5kwZhK+5+O7nvxsCIVofYREo5wPDIKAd5a9w+zfXszDTz3Edw7/LtPap6BpOoruIWxACIJAoOoamqHgu1LV6nu+zGm1DL74hb1BCOkNJ9YKN6r9O9b+7douuqHLxyOqZC7wfXxXQY3JCl84GcazfT5PNIR1RqUMooZCzvaJGBo1YZ36sEZ9RL6Hz67Kk7ElDy26gr6SS31YJ2qo6BUrD1WBpqhOU1QnHlJJl32GygH9H8jgXTRoMzxhcuTRX2WPPfbgpJNOYuq0aZx+6e+YufMe6+yXqSk4vgyr3+4rp7Lg73fS8/yD1Gx30Nr4BCqecEKaA08YNZp7VyyrEuUPYjNx+9/E5on1fxPLli1jxx13ZMKECTz88MMfT9q8/DqkTQjBJb++k69841KuvWBnfnbqBNSgAKKS9Rc4oKUgPBqikyA6AdWsQUnORLWaq6TtlVde4Qtf+AKxWIzXXnttM2nbhPC3v/2N119/faO3K6pKrK1OVpcMvULaHNyiQ+C4KLpaqbrZ2JkCXrGMb9sIRSFwXALXwyvaeAUbr2QTeB4EAYHr4dsubtlmSd9K/tT5HKeM2psGK0ng+jjZIj1vLSGUiuG7HnOefIqDTjuWLUZM5JdHfp9g2RBDizpw8vKz+K8oAx988EG23nprZs2axSOPPLKOKCbTlVmXtAHFdJF0VwbPkZUJK2ZV2rxghHQ0XSUUD5FqSdE4roHhXxjO8C2H88XdvygFFraHXXLw/aBK4l5c8BKJcJyxzePwbBfP8zFD0sJjY1jTwlUArdLSs6ImtcNriTXESTQmSDQmpAhCUdBNg7ufuZuFq97n3ON/zP1z/gqBgqopWLEQ0doIhqXjll2aGpu45apbuf/B+/n55T8n35+nd0kfuqkxcuuRDN9iGCO2Gk5NawojYlIcKlAcKhGrj2GEdVRDw3NcrIiJGZaZo+HaMEbIrO6/qqpsPWNrbvjpTXx594M5/9rzmH3bJSzvWIamrjX8RVEq6Q2AkPOAqqpihmT72y272AUH3/ErViHB+p4pa+BTsTOhSuwkr1BQNDkLV87b+G6Abn1+1iBDZZ+Fg2WydoDtC0xdErH6sEbeDRgoebzRU2JF1mV11qXgBlXD3P6ih6EphD/wmR+WMFAUaIubKEDGlp/VNRdJ9REdASwecmhra+Oxxx7jOz/4EReccgxXnf99SsVC9f7LMg66CilLJx6NMvzwH9B576+w7SJeIOfcAgG6ClFTZVzKZPioUZTL5Q0StDXEbbOr1/8WNhO3fwNvv/02O+ywA/vttx+33XYbpml+/IOctZlyxWKZo0/+Odfd+ihzbjuSw/dsgPIK+atn1IBZC0YtREZD4/4oNTujNB8KNbuiWI2A/BG4+uqr2X333TnjjDO45557SCQSG3v1zfg/wJ/+9CcefeAhBheuJr2kEye/fo5jzfh2As8nvahDxjcpCpqugqYhAoFiyFmowPVxyw5CUzFC0rNN1eRgXOB6BJWqiWLoqCETRYFFmQ5+ufpxDmqeydSojFAyIhaaZZBb2Us5nefqn17B0ad/neO3nMUJY/fEzUiy5uRKpBd1EjiyTftx8H2f8847j2OOOYbrr7+eyy+/fJ0WaeAHFDPrBpB7jke6M0OuN0/fkj4KgwWCICBaE8EIG6BA3Yg6Gsc1MmrbUbRObiVaG5VkLW8z1JWmf3k/pUwJ3/ZQK2HwT857gj2m74mmaZhhmRRgF+xqWPzGkGpJ0jyxmZZJLSSa4tS016CHDNTKvFsoGSLVkiSUDNOf7+P2p/7CBSddSN9QH0HgM659HGbElGHzhoyAiqQiOAWbMWPGcNs1f+a6W6/lZ1f8jEw2w+DqIQZXDTK4eohSpoyVCAGCUkZ+TnRTJ1Yfk+99yaOQLhJORogkw9JkeM3MmKoQrYviFB2skMkxBx3Djef+kUgownd+fxpX3H05XbluGSJvSesSzZC5sZqpYUQMVEPagohAVGb8KqH2H+ADGyIHUg1b2V7xRlM0BVVVcQuurBI6XtW4+LOGFwje6SvhCRieMBieMImbGqoCvUWXmCFbxQXXpz4sCVd/ycP2BU1Rg7qwTqqi2owaKpPqQoyvDRHRVTQFkiGd+rCOLwQlHwJkBW2w7NFb9PADWRU74evf4LpHn2PJgnc4eb8dmf/6y2SdAMcXpCwNU4OBss+wnb6EWdfKwGM3VJe6kixGU1hW+ooY1De38f7CResdb0tLC67rMjAw8Lms72ZsGtjcKv0XMWfOHA466CDOPvtszjnnnA0OaYvAgfJq8AtSQBBqZ80v4FvzlnDCd35FKhnl5cd/RUPw5Nq0BAI5oY4ip3yDEggFpWHfqqEuQKFQ4Jvf/CZPPfUUjz/+ODvvvPPncuybsS6KxSKdnZ2MHTt2vdsCP8BNFxla3kPniwso9ecIPI/UmBaG7TINRVUp9qVBUSj3ZwnXJ8iu6Kn4uFlytq1iHSHtPKRLu1+UM2+KKk9AeNJIVQ6Fy0F+3dSZV1rNVSse5ejRu7HP8C8QeAFmPCwrSmELRdeYfcFFXHv/n7ji1POYYjZTGshRHsyhGhpmTHqX6aGPFyIMDAxw9NFHs3z5cl566aUNWhOsSTtYA8/2yPbIwPqBdD9NZhO5vhyDKwcJJ8IoqoJu6dS01xBKhAi8gFK2RM+iXkpDRfpXDFAYKOC5a2eIVFVlKDfE/FXvcNoBp2FGTFLtKayIiVN0CCU/Oo7p7bff5vzzz+cvf/kLbVPbSHemcW1ZpVM1lVhdFEVXGVqd5rbHbmPXLXdl8rgp3PXkXWwxfgsIZPyTZmiyjWjpCE8es6IqTBo/ibtvuoefXX4hO+63A18/4hscf4QUf6xdF59ka1J62fXl18ZMVSqXdsEm3hAjWhtD0zVCCQszYuFV9jPeECfTnaEmUsN3D/kuh+10OHfPuYszr/ku20/Zga/scTRtdW0oSEsU3dTxXb86ByfthhREENA51MnijkUs7lnM4p7FGJrB+Yf8dN1FE1IMIJS1bTxRkUdqhio98BSpFg7FPvs4rN6ih1v5nCmKQiqkVaOiFg7aFD2fgaJPZ95FUxRqQxpCgK4ojEiYJC2N1rjBhFoL9QOf+9E1FvP7yrh+QMb20RSFiC5bn4YKq7NSxOELgYZCfVhnxKgx/OqOR7n3xt/z3N8f5uBJWwEQ0lXipsLcvhKKCsOO+hELLz+B5I6HYDW0o1TSHXRdIeMIakLQOGwkS5YsYffddl3neKPRKPF4nK6uLurr6z/z9d2MTQObidu/gHvvvZfjjz+e3/zmN5x00kkbvI9whyDzGsIvgXAR6CiFBZS1kcy+9BauvOavfP/UQzjve0ehax70uGD3SHsPRSCLoH5FvBBBKa9A5BdAbBKoYf7617/yve99j5EjR/LGG2/Q3Nz8ua7BZqzFnDlzOP3001m0aP0r4fTiToTrUxjIkO8crG4fXNhBenEX8eENhOtkhbTrlfewMwUUXUPRNbySg/ACRBCgWQbRllrsbBHfdqtD43rYRPgBnudX4q8kaROB4Lmh97ll2VN8Y/QX2aFtKnrYwkxE0C0DJ/B5p2cJv//7vTjC5+pvnE+LG8OxS5iJiJyDcj0ijUki9UkpfNjAbA3Iuao777yTs88+m5kzZ/Lqq69utOqr6mpVHQpQzJQQgWBxx2JO/MkJHLLnoZy039fRFY1StohumYTiFu899T7R2ijhVJhiukRxqMDgykFKmZLct0qFSAABAa8tfY3xreNprGuS4fUxC0VViNZGN+plKITg+uuv58wzz+Scc84hFAqhKiqNYxupKbv0LuqtDOfLNRjI9/P3l/7GX664nbYpLWQeTdNS1yJD7l2fwmCRUrpEOBUh2ZxANdZWmyaNn8Rfrrudxx97nCuuvYK/PPQXzj79LL6838FomoZdsLELNsV0Cd+RaQqGZWAXHXxHpk54ZY/6kfUYIZ14Q5xy3ibb61LKlsh2Z6Uliq5RzNs0Jhr49oGncdSeR3H3M3dz+u++QzKWoLm2meb6Ftpb2qkN1xJSQ6zsXsnKnhWs7u+gY3A1nu8xsn4kY5rGsu+MWYxrWv8CBZDzbRVohoZaaW/XtKeqM4r5/gK1w2o3+PhPE+UPqIM/vL077zBQ1AgZ4HgCgaDoBkSEi9u9mrffWM7qpYsYWrmEod5OYrEYyWSSVCpFMpmkefgoIjP3q0Znrek+r8556GqlxVnZpqkKE+pCvNtf5ohvng5AuuyjKgptcZPuvIvtQSAU4mOmk9p2f7pvv5hh3/kDKAqWCoaikHN8kpbK8FFjWL5s6QaPbU27dNq0aZ/6em7GponNxO0T4ne/+x3nnHMOt99+O1/60pc2eB8hBCLzKhTeR9j94HSAX+LFd12+cf4cItEELzzyS2ZMHY3wsojCMnAHwMuByEgzXUWDwJVqUgAUcHpY8Mo8vvuTP/H23HlceumlnHjiiZtNdf+P8eyzz7LTTjtt8Lbc6n6UQOCU1m2P2um8zBPVVUI1cVDALbuU0wUC2wVFIfA8WUnyfYQCKDKPVDN0Cn1pOX9UrPiq6RprGoCKrvG37HweG5rL2VseypbDJ1HMFFic7WLeiuW82vkeS4Y68StD57896Ps05E2KuQx6yMB3PEI1MSL1SeLtUh29sWrbnDlz+MEPfkBXVxcXX3wxxx9//EdW5lRVJVobJdefRwiBW5JGvJ1DHRi6wYNzHuCZ15/hrMPPYlzzeDSjRHHQIJwKYedtEuU4ruPhFB3KufLa6p34QDdPgRv+eR27zdiNaF2UUDyEGTKINyawohseZ8jn85x88sk88cQTPPTQQ2w/c3sGlg3glFxUVSGSitAwtoGh1enqjNwdD93OHjvsydY7by3FEK6LYZiyFatDKG7JRLpKizWSjKz3uttM2ZY7rryDJ994git+fwW/u+F37LvHLLZon8Hw5IhK2xLckkvg+9JPTVMxIwZOySXTnaFuRC1W1CLdnSXfnyfbk5M2JK6PbumEYqZUyoZ0Jo+dzM+2uYgzBs9g0eJFdPR20NnbScfq1bw++BqFUoHmmhaG1bWz9fhtqA830JJswVA/Ih1DlZVIIYSsTqmgGiqGqROvj1YTJ+T79PnMYEV0FT8QDJWl7YaiQN7xKXuC9zv7cbuWUu5aSv+KRfSuWMzgykVku1dhWCFGjp3AiLHj2WHGZEbO2otCoUAmkyGTyTAwMMADDzzAQPpn7HHi9xi756FkvLWhab4PBTdgXr/NjEZ53I0RnVhLhM68y2DZo+wFCASLBsu801emr+iSdwI8Ac2HfY+FP96PwttPkNzyi7iB/O7Jj7nCVlPGs/Cdtzd4zK2trXR2dn4u67sZmwY2E7ePgRCC8847j2uvvZZ//vOfbLfddhu8D+4gQbkDMq+Cl4f8fArFIj/5w2JuuH81PzllBmd+91SMxASEn0MU3ge/jFSvGeCVpCCBoJJF6oKbJj3Yw8WXX80fbvkH3/zaUdx9z72bQ+I3ETz33HMcf/zx620v9WdIL+rATRdxFIPA9QCF8lCOzNJuab0gZJ5otKkGzdTxHQ87U8AvO/JcUGktBl5AaSBP7fhWhBdgxiPY6QJuEKBUHBp8IW1C7ht4nefzizlhxG6scoZ44OXbWNCzjCCQbVZXrFX2bd0ykXYlQXlIBqWXh2zCdQns9LoK0mhTah1C9u6773L22WfzzDPPcM4553DGGWcQDn/gBP0RWBNn9cHg+s6+ToQicF2X/nQf59x4NgdudxAn7H8iru0ihgI0Q8cuudI7reCgqCqaWfFYcwM5i6VQDU3X0PHKLoEXYOdt4o0Qq19/Tm/evHkcfvjhtLa28tZbb5EIJRhYsbY6GgSC/GABu+jQOKYBp+Tguz5vLXyLE79yIqqukuvKYhfLxENxNENDBEH1gsp3ffSQTqIxvt58H0JgWDpHHHIkXz7wYB79+yM88ugj3PyXP2IaJttO3pZtJ23HhMaJGOhoZoAVtbDzDkYooJyzGVo5RLojQ7ojjV1yKhW/tTYfWsQk3hhH1VRGbj0CzdKp7a5h+PjhDC4fJN2dqdqygMAuOFIV6gUEriQZbKCApVRMjhEyzktRK95tro+qqFixUFUlDGDFTPRPEI/2n+Cuu+5iaGiIrv4hXlrSTT6XpZTLkM5kKOUy5LpWkB/sI1LbSO3wsTQMH8vYbXYl+uUTqR02lq0njmJ6U4TJdaFqa/XDCIKAK2/4E7+69CIeu/kqtj32e4zf7UB0TSNpacRNle68y9gai2jF9DhiqNSHdd7tL9NTcBkqebzdW8YJhExKqDy3Hqmh9bAf0HX7JaSm7khgRVEV2Vbde1SMJdOn8MDdd2xwv9rb21m9evVnsaybsYliM3H7CLiuW50le+6555g4ceJ69xFeFrJvyXm24lIovE9Q6ubef3bx4z8soaXe4rXbtmf8iBh43SiMJVBDKIqGUE3pvKqGQfXlJXZQAjWMJyz+/EgX5179IpPHNvDyo7OZtsUOKJtJ2yYB27Z55ZVXuP7669fZnl7SydDiLpyiDb7A9mxyK3vk6KKqInwf1bRwizb985aTX92PV7Jxi2XKQ/lK68+vtuUUZOVGs0wUU+A5LqFkhMCRBq8gMGNhfMdhZLyRUDjEH5b9HVM3cLwNqyg1RWVWchp2poAWNgEF4Xm4JRszFkarqBV1yyA1TppJd3V1ccEFF3DrrbfyjW98g5tuuunjPQsDQSlbqpKDSCpCTXsN8cY4iqrgFB06BztxXbmfAoEf+DzyysO8/P5L/PCIsxnbMobA81FVZKJAhZwJL8C3P2BEq8jZqku+einhUIQgkBFSbiWFIJJal1w++uijHHHEEXz/+9/n/PPPR1VVehb2sCG4ZZdSpkSkJkKhUGDeu/PYatpM+pcNkO3NUiqWSZgJfM+XSlBTCgB0S8eKWYRrIuiWTn6gQODL3M9obQQzYqKoCpZpsd9u+7P1sG0oF8rMXzWfOa/M4doHr2EgM8C0EdPYdtJ27PSFnahL1uPaboX8CnI9ORnXVXbxHA9VU6VxsaLIYPvaCFbUqha88gMFfMer5rnqa5IRNIiahmzVujZKpe3+Qe82VVUJCNAMDStuIVzZblQU0EwdVVfRDem9Z8UtNEOSuHAitN76f9q49tprMUwTz4xhRuNEYzGidc0krRhWNEF923DGjZ+AbcYpVMhtW1xGwcVNjS80h9m6JfKxVeOvHfdVRuy0P/f85U/87YbLeOuuq9nvlLNp32VfYqaGoSkMlDyihklPwWVZxuG1riLvD5axfXC8gMHBATw0PD2CSsV4V4GaHQ9m6Pn7GHrkD4w+4Rwm1VnsOjzO1IYI5qRJLFy4EN/30bR1iWV7ezsdHR2f4epuxqaGzcRtI1i4cCHHHnsstm3zwgsv0NraCoAIbCgsArsLIVworQSjDkWP4fs+9zzyHrOvm0e26PPjE9o46cBGVE2An4fiEgKzCbwhpMuqXYmxikny5mXo7Cty4yND3PjwALpu8JvzD+CwWVNQdF22UTdjk8Drr79OIpFYJ+fTyZcZWiwl+9GmGgzTwHFK2Dkb37YJ16dQDR0jauEWy1KcEAhUU8cvu9K3TZVmqKqhgCrPmIqmYsYsIo01FF96Dz1sYtXECPqzCCGDvvVIiD3GbIsX1Xj5n0vpK6Q3uu+NVpKRZp2srOTLmPEw6DqaoRNrqSU1upnUmBYSwxro6uvhF+f8ghtuuIH99tuPuXPnMm7cuI9dH9/16VvaX7X5AMj15ki2JonVxWgc10jfkn4WL1+83mMdz6FrsIsfXPs9Dt/lCE7+ysmAgm5qlAal5YcC+BUStMb/SgjBnHfnoGka40bLfawdXoOiSiNYIyyrPk8++SRHHHEEN910E0cccQQgPck8RypzA99H1bRqBQ+gnC8TqYnwyiuv0NzcTEyNk+3JSgsSxyVwAvyyVLuGW8PSh8vxKaWL5PvyeJpH04RGAidA1VU8x6N/2UBVqem7Mq/UMA122HoHdtxmRwZWDrJw4fu8vOAlnpr7JNc8+gfGto6tkrgx7hjsooPnyHxT3/EJVFmpVXUVYQeUMmUUVaV/WT8IgZ0rV2boiviejKpSNGmiq1dUpqouq2drKploFYUpYFgGoagkYpqhUcyUZMoECooGRtikeUJT1V8OpDo23vDxyuT/BE888QR9RY95fWsrm8szDl15F1NT0FWp/kxoCglfUPKkurM9YWJpCiNT1idKA6kJ6bQnQ2x30FeZOeswXrj/T9w5+/u8+NCdfOuiX+PG5cxxd97l3YEyQgiWZ2wGSz4CeOeJB5h/zY9o3etoWo/4IQRgaQqBEAihMfWkC3n1/MPY9aAjGT91K7ZokoR39OjR0k5k2bL1xFDt7e288847n95ibsYmj83E7UNYY7Nx9tlnc/LJJzN79mxCIamGEoEL6ZdldQ3AHUS4/filLu5+YpDZV95DPjfIOUcnOWFWHCsUgyAPviOJmVmA/DugqAi9RhIxLULgFXnypVVce+9KHn4hz55bxfjt91qZtdsU9NQY+YPi5xFmMx//07IZnweee+45dtppp3V+7Avda9tsVipKNBWnWCzhO7JtJ0RAYlQzpd40+Y4BhCd/zPWohZsvISpKSionXulurxA4Hm7JwXdcVNNACIFuGmimLtWlQYCqaYRr4/iux/kzv8pZz19P3l3ffsRQNPZunoEf+KCr6KaOZhlopkFiVBPtO09j2G7TWNWxmh999zvccsstHHDAAbz44ovMmDHjE6/PUEd6HdIGsnCT7sxgRS2MkEHjmAY6ujZcKRBC4AufO56+nXuevZvD9z6ctrp2aswa6iL11MfrK74Jsk0ceAGGpTO2dSxz3nm6mgzgFl1CsRBOycEIG7zwwgt8+ctf5ve//32VtIGsDub789gFRyp4VQUrZhFNReAD8VfPPfccM2fMRHgB0doIfq9HJByh7Nn4no9bcMh2Z9AtHcMyZCpEpsAXD9mT75x6Oqf/4DvVVmP9yDqyvTlpVWJohJNhSboqrdZQxGLMyLEMbxrBEXscRVkr8/I7L/H8W89x16/upCZew7YTt2W7cdsztiIcEAhpiCsEiiUVo0IN+MaPvs5JB3ydMc1jqtmwqqbiOj5+JVprTVVNN3U5X7XGw02laqUSSUVoGtcoLy50jXijSykj5y2jtVGGb9FOOBWuWpqE4pYUhmif/Tyu4687R5ewNLIfMP5NWRolL8DSpGdbc9TA0hQSpkZD+KMviotlh+7BLH4QMCISpi9l0lfSmPHlrzF2twN57Jdnc+7BO/GVn/yG7x/3ZTpK8vNn+4KcE+AU87x89bmsfuFxhO+SW/oOlgrlAEKaSoAgZqiM2HI6+lGnoPUsZt9Ru1X95HRdZ9y4cSxYsGA94tbW1ra5Vfo/hv954pbNZrnuuutYunQpS5cu5f333ycIAh5++GF22223de9csfgQfhEhPCgs5ZnnX+ZbP3uOYsnlRycM5/i9kpiaI+fVvCH5OMWsiEVz4CfBbAR3AMVq4E+PrGT2Na+QztqcuF+Md29pY1R7SD6GAuTnImLTUEItFVuRzdgU8Nxzz633+Qg8aViaW9WHPZTHDDQ8LSDSkMSzXcK1CSINCex0QSohxdp2n2rpeOmiNOAMAslJVEVW4DQd4fp4BRvN1DFiIdxCGbPs4hbKqLrMMfVsF4TAFR6jki3M61+23n67wueW5U9zC0+vs11BkhNFlfFpAEcffTSvv/561d4j3zVIdlk3Tr6MFjKItzeQHNW0XqXCd33KufVJ4xoUh4oEoYB77rmHgcEN+08pitwfXTNorG1kaHCI95e+T1d/Fz1DPSSjSaaNmM6U4VOZMnwyjfEmnMBlKD9EIAJpKaIolDIlonWSOLzxxhvst99+XHbZZevNJma6stJMtlIBE4GgnJUiiFh9jHBSVj6efeZZdtxiR7mWZRdN06ivraenrxtUBd8PqkQs1hAjWhdDURUu/cmlHP/t42ltb+GwrxyGnbcJ/ICa9hSaLmPLut7tYqgjXc1NVQ1VCh38ACseImHEmbX9LHafuge5bI4Fne/y4jsvctEdP6Otto1ZX9ifbcZsg67q0h5GUbCiFg8+9QAvvfkS7y16jz+ceS1NTY3ywsAL0C1dvp6iYIZMfC9AD+vSh812q9U73dAxowaNYxuI1kWlr10ihGd71A5XMEIGRsigblSdzKSt+2hD8s8CcXNdcpiyNLpUBb8iZGmLG9i+oLcSQ5UMaTRFdUZ/RLXN8QUvLe1lXscQQkBch4YQKLqJoiVIWirJpka+9vObePWRO7n1vG+y+tV/ctI5F5FKxFEV6HvvTR6/6JvYuTTCl2MBpa6lKKpK3ISwIYlbXVhndE2Imd8/n53ao0TMdcnkpEmTWLBgwXriuM2t0v89/M8TN1VVeeWVVxg9ejSHHHIIo0ePZttttyUeX7+0L8qroPCerLg5fVDupjac54wj2zhuHwtTC0CUwfcAvzIboldsPhQQCugJeZsqKyfhUIgLTmzgyztqWLoDaBVduQF48jm8HCJ5EJq6uVW6qeDVV1/l7LPPXmdbuDbOiifewskW8coOJhrFchmv7FDqzxBKRcl3DlLoGUQ1ddyChx4NYcbDch4rXybwPBRdfgZ8z0dRA3Q9hGe75DoH5LyXoROqiWPGwpT6swSej+/7LCx1c89bT/B23xJ2bJnCGVt8md++/WBVRaqiEDVC5NzSescjqORRVgoU5513HhdddJG8LQjILO9laNHak4NXcmS6Qq5I44zR6zxXsBFLhmwuy+NPPs5jTz7KnOfmMGHCBOkBViFLqqqiazq6rpOKpRjMDPLqw69RSpdxCna1lVkqlZi3YC6vv/c6T899kusev4Z4OEGulCURSXL4rodVVaROWSp1B7ID7Lfffpx77rl861vfWme/1lhwRGoj5Hpy6/jN2XmbuhG11aisN954g9OOOw0At0K6U4kUSzoWk2iIo2gquqUTSYaJ1kaxKxmq2221PVdefCUnfuNEImqEGVO2AGTRMJwKU9NWQ/3oBoSgUvmzq63aWGMczVDxSp6MvBKCaCzKlqO+wIz2LThhrxP528uPc+dzt/PnZ/7E3jP2Yd9tZtEQi+Hjc8M9NyCEIF/M84vbL+OSky+r5JOCisyL1QyNaH2UeEscJ++Q7cmi5CWPtaImumWQbEmgm3Jur35kHeWcXDdVVQinIiQa4/+nSveEpVET0hkqVy6GFBiRMFmRdQjpChFDJWJAc9Rgar1FwtI+sj3qBoJnl6eZu3Koum3QgYwHI8M2RTdNLJGi7AnwfbbebR9GjRrNX674CSfP2pGzLv8977z8HA/87nKCYO1FAYCT6UdxHGqTYerDBj6CHVujTKgLMabGoiGy/ql5DXH7MNrb2+nr66NcLle7Q5vx/zf+54lbLBbjrrvu+tj7CeFXSZsIfGnhoYWYOsJnansEhCPFBcKTOaNBUBns9ZBDIgaYNWD3SXKnR0GLc+jOKpRrZTVOrFFeKZWKXQ6UEHgZKC5GREajmB89EL4Znz0GBwfp7u5mypQp62xXTR2vUCa7spfA9dFKPun+QbIre1FUlaHFXdiZPKW+jDTNVRT0iInwAln9ME1830M1KlUQx5VD+EWb/Op+jHgIPWQROI60iijaeI7LC53zebT7DbpyA+xeN4WvjD+aWiuGEQ5x/Ng9uXXxE3gV8vbVKXtxw9xH8IINZ0eapsnXv/51LrroIgo9aTJLOimn83S9uggRBIRqYhixMJGGJHrIpNA9hD2ygJWMVp9Ds7R1PNvW4M15b3Lz7Tdz+GGHce0N17Jw4UL2339/LMtC0zT23ntvBvsHefb5Z+l1eqWP2LYj6ZrbRXGoSClbJtuTwS95TBo2mfFNEzhypyMpuzZLu5fQ2tRGXaxO+oYNFjAsnbCukmyNs9+X92Pfffflhz/84XrH7BSlNYlhGSRbkpRzZdyyV4mvsojUSDuPvr4+BgYHmDBuAn5BwEAegFQ8RTqXRtVUwkmpqLQLNunOdNWrRFEV9th2T757wnc59tRjue+W+xk7aiwCKKZLqKpKqi1F27RWMl0Z+pcPEq+PIxD0LurFr7T8rFiIcFLFLtgUBgqgCCKhCAft9GX222Z/Xl/8Og++/AD3vXwve83ci6aGZop2EQDXd5m3bB73Pn8PR+15FGZEWpgoFduTaF0UK2Li+wFm1JSzmY6PGTWxotZaU+S2GmJ1sf+TqtrHYWpDiPcGyvQXZX5q3NTYqT1KjaXhCZmG0BjR0dSPHzpZnXVZPZhbb7sfQHdZ4JTzTGhvwPN9Fi7tRPgBdU1tfPuy67n/pt9y1lcPkIIOf/3vmqJq1BdXM3nMdMbWhGiLG+w6LPqR+zVp0iT+/ve/r7e9sbERwzBYtWrVJ5o/3Yz/fvzPE7dPDLsLtIoyKigjDaQC6bfmZeUPdFCWggNUwEBW1nR5H6tRkjhvQM676SmZmODlARe0EAQVNaHw5PMoyMdGRqJ4Wci+jkhug2J89kaWm7FxzJ8/n7a2tvVsWUqDslqjh0xcr4Sp6JTsEoHrE7gOXsnBHsrhlRx810MLGVCU1avAlUa6iqbi4yG8QKr1QiaaaaBoKl7JBUXFydtklDLPLHuLRxa/iKKofGn0duwzeQd026fQnZbWELbLrokJ9LRneGTVK4xONHPwrvtw/7Ln6cms36LUNY0x7SM557hvM/j+ajLLpcpyaHEnuVV98hj7MsTa6yn3Z0mOacFKRCj1Z9YhbqqqEq2Lketb96S36w67sscuu9M0vglVUymXyxx33HHsvvvuzJkzh1tvvVXOVgUBQcUoIQhk+7mQLpLrzVHOlisVPRmYrhkqsVCMafHp1ZQC4Qu8soeCQjQV4ee/+Dn5fJ6rr756gxWWD85faYZGtFYeiwhknNOa2xcsWEB7ezsNbQ3SZHeoSClTksQtn0YzVGpH1DG0aojAlwZza2btVFTSHWmO/vIxZJ0cx5zyVe675X5am6XoqZAukmhOoCiKDGZPrK2c1I6oI9uVoZwrE2+SVS0rZhH4AXbeqVYIrbDFzl/YmS/utCfvLX+f+567lxsfvGGdY3U9l5sevInp46Yzc/pMEk0JojURGsc2IoSgMFjEdz2aJzTjllxUTcXOl3EdH8PSaZ3cUl2fTRGGqjCtIYztBZQ8QVhXsP6FrN01KJYdVg0VyJVdyj6YqqzgCRFQdjwynofhlunpG2Iwk8V2PLTK50TVNLKrl0gz6w2QNgDDNKnJrWbH9h3QVRhfa34smZw8eTILFixYzxBbVVVGjx7N4sWLNxO3T4CRI0eyYsWKT3TfN998ky222OKz3aF/A5uJ2yeFlwWjDmEPgLsSistB2ODbVKakqU7yKqqswAUCNEuSL9WSVTWQ5Cw+HcodMpM0qLSuRFE+xxqXdjUMZh2KasrHCwHFJZDcTNz+LzF//vz1qm0A9qA0l400pqAhSaIngS18mXhQianSTAPP9lC9AL/sItygEm0l1aVGyMQvST8tRVXkoHm+hGc79IkCc0U3r/UtYmm2m6nNo/n69l9mj2nbkl/Zj26YlDJZ7Gy+krwgn/Ow9u0ZFAUCTeHI687G9wNURSUQ67Y0Td3gym/+mHJXmo4n52FGQwghSC/tkqRSVfEdDzdfwoxHyK3sxZwyAjYgmUk0xUFIH7Q1xMIMG9S011SJUGNjI8lkkq9//euoqornees9z/LXl6M4KuVcWVbGAlGx1JDESkFF01Vc25PJAppU5Wq6tKzIO3l+8/vf8LfH/kYksr4RLkA4GSbdlanuZ+AHFIeK2AUHVZNVJr/RZ8GCBUwYNwHP9SllSpI8BYLGpkYy+Qwtk1uqthiaocrs1TXzahXyoChw1nfOIp0Z4qhvHMndN91DU0MTIhD4jo9Xser4ICLJMMWhAmpRJXADVEsKCBrHNWFGDAZXDFLOltFCcjZN1RRmbj2TPruXZ998BvdDtjC+7/Hjq8/l4T8+UiVua2b4Iqm1a+R7PqV0Cd/1McJGNYrsvwGWrmL9i2e3rO3zZkealxZ2Mpgv0Vv0UESAboWJRqOoXpns4CDZYplCvoBezrC6d0CuuapQm0yQjEfRVPjJpVdw759u5L6/3CKFNh/6bAvfI+hdTn1EY3jcpH4DrdEPY/z48eRyOTo7O2lra1vvtkWLFjFr1qx/7aA3478Sm4nbJ4Uaqvis5cFNS4NcqJjwyMAdPngiFJVtAHo91QqdokNoBIoWRWhhMGLgrklJ8CURXGPAG/hg9yC0CEQmydOju1a5uBn/N9gYcVNNHeH5uEUbRVOJh6PknAKB48m2YVCZWURI0uQF1YoMIAULXiCzIh1p77DSTzPX7eSt0kr63TxTY+0cvP0X2W3GdsS1MEIDzdDJ+r1kl/diZ/KAgm07LCh28EZpFXNLqzBNk+2aJ3L2zscwtXUspz5wOauH1vqWaYrKubsfj9Vrs6r3HUq9GaxkBD1i4ebLlIdyWMkYqq7hFW3MeESSuEKZ6AeyNtdAURSSLUnijXHcsqzcGBUTViEEy5cvZ/vtt6e3t3eD4eVr0LO0l6gVxatUfwI1qJIgw1TRTBVFUdE0DWFI37E75tyObuk0tDYwmB4gHArT29XLSy+9RDKZJJlMUl9fj2nKOThVU6lpSzG0agghBNmeXDVeKlYXI/AD0l0ZXnvhdYa3DMcpOERqIlgxC83UaLQbyRVyDHYNkWpIEq2JkOnJ4ns+gS9kJUZVUBUF3/FRFIXZP76EH/z0B3zlG0dx141301DfgGqo+IX1KzSqrpJqTeHZHoqmoJkaZtgklAhVfdtUTdrGIJCCgyDgujOvXY+0rUGxVOR7s8/k6aeeJpracAVN0zVi9ZteO/SzwGDJ44klg7zw7gpsz6e74FJ2Bb4IiBcGcVyfjO0SlD1EqURgF0mFDYq5HOVAUJtIMJDOEAubjK6PETPDfOM73+fIY07gb3ffyo033ijNjYOK2tlxyKxYwBeaNnwxsSGEw2FGjx7Nu+++ux5xGzdu3Aaj9zZj45g5cyZ//OMfP/I+G8qh3hSwmbh9QgizBWE/IXNF9Siow8Edki3NoF8KD4KgUk/3K8a6leUVLoRGgp8FsxlFj4EakuTNaAZ9oFK0SNLf08Fdf8vw9S/VYFohwAc3A+kXEHW7oaibbpvifwXz58/nq1/96jrbAs8nu6wbz3EpDWQQATSJGENOgcF8hoQRruZqIqT/mFClY72ETFNwHYeVpHk1s5g3S6soCZdp4Ta+XL8VW9SOIRyyqG0aTk0yVQ0ez67opdSXoXuwlwWFTt7JruLt7ArCqsHM5Gi+P/pgpo+egJe3MWMR/ILNcTP34/In/4TrexiqzqHTdmertokU+zP4totbstEsA9UypOIwEsLJFgjVJqrmwADxtnqM6MYHolVNrRjACt5++21uv/127rjjDjo6Ohg1ahTZbBbbtqsntA8j3ZXGj8h8Vt/20ENy/k/TNayYJf3IAl/6j2kK6PDQyw9hO2V0XX7/XM/l2JOOJQgCPM/D8zx22mknnn322errRFIRzLDJwMoBNEPFjIQlMavYYAR+wLvvzGf/ffevPsYtumS6Mvj5yr5bCnrYoHNBt6xQoshUAU0hFJPKxTWxWaqqcvkFl3P6j07nK988iofueQhN16rk9sMwIybR2ijR2qi0jPkAIsmwvAD4wPvy0N8eYjC98Ys8z/d4/e3XOeU7p/CnP/1po/f7b4bjCzrzLlnbx6jYf9R8KBVhdc7h/QGbt3pKzF89QLkcUCi72J7Mvy17AqHquOk0tmLgBypKqUSjCdGQvOCOCkFI8aiLRqlRXWIfULdOGjeGQ669lrPOOotzzjmH++67r/pZnzdv3r98TJMnT+bdd99lr732Wmf7uHHj+Otf//ovP9//MqLRKFOnTv2/3o1/C5uJ28dAGu4uRLG7EKUV0hJEC8kKnFEvW6KqBXZ3ZQZuDWkLQVCUJM4dlCROa0bRI2DUoKgGwmxEcQcRXhvZdB+/vOVdfvmnxZQdwU5faGT6pBhYbfIH2RtEFJei1O/zsfvsui6e533iKKLN+NewpuK2cuVKHMdh7NixDMxfAaqCGQ2jDTOwswVC6TxNVoqVziDTzHaEEDw1+C4TjUbq9TiKplAOPHq8DF1elhXuIG/bq/GEz3SzjaOSM5kUbSMUCmFYJnrEQo+GKPWmUSYNJ1cq8PrS+bzwxiu8vnw+XaU0oyKNTAw1c2bb3gxTa9ANnUiilmLHIEY8gm/LNuxUv4GkFmHAzzIq0siRk3bHLZSxMwXwBWpIJ3A99JCJkymihS0UXUO3DMJ1ccx4mGhTiuaZHz1Ts2TJEm6//XZuv/12li9fzoEHHshvf/tb9tprL0KhEOl0mmOPPZa//+3vOK6z3uO9QKqz1Uqlybd9WZnyfDzXqw7Xa4aGQGCYOofsfjB3//PudZ6vWCxW/x0KhTjhhBPWey3d0rGiVtUstqOrg+bGZjRNwym5LFu1jFHDRhN4PpmuLAOrBhG+oFCQvo5ezmXITeOVXGmmGzJQFQXhC4rpErG6KPHGWDWVQNM0fj3713zn3NM44IgDuPXWW9lmm20wwzKP9MOoH1knZ86Ka4/LDBvUDq8l25OjmC6yYvUKRrSP4OY7bsZ1XSxLkgshxNrKpoBABPi+z2233UapVOKyyy7bZKsL/w7yjs9bvWWcD1S0Fw6WiRkaI5MmjVGd5Wmbh5fkSNseq7MufdkSji1QhIbi+wTIsHhPCHLFElpERQs8TK+MqGS0KoqCaWjETJ2YpVe2yYZLxDIY3VoPwJgxY7j77rt5++23OeWUU3jppZdYuHBhJef2k8eBrSFuH8b/LxU34eUR3XcjBv4pZ8D1FErdF1GaD5cFj80ANhM3yuUyZ599NjvttBM777wzzc3N1dtE4CEGnwW7ozJ3psuZNC8HmglWnSRoXhbsQdBcUKKVKpyMpJGGSqqcTdMSiPAoiA0D4SGERjE3yO9vfoPZ18/F83zKjsAyFDzCgCardHpS7pA7AJExa/dPCFavXs28efPW+bNgwQJ+97vf8c1vfvPzXcz/z+H7Pk8//TS9vb0cffTRLFu2jN12241/Pv53Cj1pNNMgObKJzPIeNNNA+AFja1tZrWSZmYxSyGRZ6PRwT+Z12vQUeWEz4BeIKiYtRpI2o4bjarZnQrgFxQsqvmoVexhVIfB8wg0JzEiYc2/7FXMWvEp7qpGpqRF8ZcxujHCixMwogRfg29Kw11dkdqqViKKHDEQQELg+zkCOQ+u24q6+VzilYVfSC1YTSkURCALPx1Kl8awZC0t7k5KDauikxrZSN3k4ADVjW1D19S1qOjo6uOuuu7j99tt566232GeffTjvvPM48MADiUbXrRgnE0mu+8V13DjxRn7265/h+d46rdMgCFA1Fc/28Dwfz3ZRPQ1VVbFzNoqm0DK+CV03cMouTt7mkD0O5fa/377B91BRFEaPHs2JJ564zvZyrkwpUyLXn8ctuWghjR3324FYNMaX9zuY3bfdja6+Lka1jGRw1RD5/gJ2voxn+wz096OpGnbaJl/KY4QMGc/1QQiBHtKJ18dpGNNAKVMi8APMsMlfH/4rV1xxBbvtthtnnHEG5517HoXeInbBrj48FA9VPd+ckoNn++imhhmR7d6a9hSrOley16Ff5MdnnscfLr+arJMjXheTrVRVtpPlPNbaP0uXLuWOO+5g6tSpHHHEEfz4xz9mwoQJn/xLsYli4ZBdJW2BEKzIuKRtj7wTsGBAR0HwZk+ZqKni+YJB22fIVfA9BXxBCNAQ+IBbKhLxHOpUA6EIhA6265EplEjFIqSiYUY11xG2TMKWQWtNnHDIorU+hfGh78eMGTN48cUXufvuuzniiCP4zW9+ww9+8INPfFyTJ0/mhhtuWG/7uHHjWL58OY7jVEcA/psghE+w+CJYfS3SVWGtZZEYfAqx6FxoPxl17E9QNicIbSZuhUKBIAiYPXs2c+fOZcyYMey8887svPPO7DjNYkxq6doOhNsnK2iqJatoonLla/cjPdeUioo0qKhLFTBqZCVOsUDVoLgA/BK2r3DD7c/y09+9Tsn2KX8gd1FRwPUqAoXAx3ZVlnQJFnUNsui+X7Fw4ULef/993nnnHXK5HOPGjWP69OlMmzaNww47jGnTpjFq1KjPeyn/v0Qul+Pvf/879913Hw8//DDlsjSWXbZsGYqiMHnyZLyyUyUbVk2M+niY3reWolkGk1pG81rvIhIjGmGlwrfUvRksZHknt4paI0qzliSumGvjhQRouo5iKLLdZupopo6ZiBBpriHeUoeVjHKotyfHjt6dBJXUBd+nnC5U1GYCzdDRIxYoModUEMiEBUPHyZXxyi5bRUeyRWgYmqbhFqWHnGYZMnoLSAyrx4yFSY1upjyUR1FVaia0oYdNkiObSAxvrK7TwMAA99xzD7fffjvPP/88u+yyC9/85jc55JBDqK3duJimlC3hewHHHX0cU0ZP44yLT6ezpxPPl9+HUrFEEPNRNHlCBen7ZkZMVEMKE8oZh/rRcXRLR9VUmo0WdpixIy+8/fx6LVhN07j22murfmNCCIZWD1FMyxOF8APy/Xk0UycSjpDJZvjzPbdx291/QlVV/nDLNey9/T4Mr2nHK/sEQUDZtgmZIalmdXxQIBQPE4pb1Zk23dLRdJ1ITQRVU9dTZp5zzjkccMABHH/88Tz44IPcfPPNzJg2A9/x0U19nfaoGTYxP1RMVxSFGdvO4O9//zuHHnooy3qW8vvf/75acdsYxo8fz7777sv555/PpZdeyowZMzjxxBO57LLLSCaTH/nYTRVlLyBdXkucu/MO7w+UWZZ1cXxBWJPxVwNln4ihENJUmVaiGZRwQYDvK4RVgRL4EARo0TiGrqE4BVTLIF+ysV2PkKGTjIZJRMNELJOtxg8jHrbkDGsQ4DoBArEOWVYUhcMPP5znnnuOvffem7333pvp06d/omObNGkS8+fPX09Z2t7ejmmaLF++fJ0Yvv8GCOETvP1VGHq6ct78ENaQuNXXEhTeQ53x50+NvAVBQFdXF8VikdraWurq6j6V5/2soYiPmgz+H0M6neaFF17g2Wef5dk5T/Lq628Qj5oMb0nS0hSntSFKS21Aa41HS4NJa0sLtVGHiDpEJBIjrKbRtIooIZDWDWgxZJaMCQh8X+Evz8Y455fPkMmVKdvrz/boGuy3fRzH11m40mZ5VwnL1Bk/djjjJ32BCRMmMH78eKZMmcKkSZM2t0Q/I5x22mlcc801WJZFqVRab4g+Go1y5ZVX8rXjTmDVnLkf9NckvbiTnjeXkCnlOOGui/nFft9mdKqV8kAWJ1/CzhQRnjypO/kSQRAgXNkGtFIxzEQUJ1dCURQiDUm0sEkoFSPWWguqip3OS1WqEJQHcxR70pQGsvLEYGiViw0FzZIqx2hLLV7ZwyuXKXYNEfjSO07VVFRDw3c8CARGPISq6VVhQnJkMw1TR5AY0UhqXBvJkU0ECBYtWsTcuXOZO3cur776Kk8//TQzZ87kqKOO4vDDD6elpeUTrXG2J0u2V6qt3ZJD3+p+Lv71xTz07IMA3HD2TbTVtuHaLoEf4DseVixEKB5CNzUUTZI3K2rRPLEZr3IBtLhvMfsdNKsaYA9gGAb7778/999/f3VbcajI4OohPohsd4b8QIFjfvRVFi1ft/1k6AaBCKhL1LHHFnvypW0PpCvdxaV/mc09l92LW3LRLZ1EU2K9WbREU4KRM0d8pDLTdV1+/vOfc8kll3DSSSdx4YUXfiTx3RDmL1rAkYcdgWpoXHHNr5kyZiItqUZU5eNtMZYsWcIpp5zC/Pnz+d3vfschhxzyL732poC84/NKl2yN+0HA/QuzdOZdim5A0QvwA4HtCSruMViaSsyEdDnALZfALaO6NrrwCQKfkArxunpiqo+S7sHwygR2kcAuM31UCxOGNVGfjDG+vZGmmjjvv/8+P7voZ9x6y61VcqUoivxuqgq6rle3//jHP+bll1/mn//85yc6tsHBQerq6shms+uZxI8ePZqbbrpp/cSfTRz+ogtkpS3YeNpKFWoI2k9GG3fBv/16a+xAYrEYqqqSzWart7W1tXHAAQfw/e9/f5O2VtlM3DYCkXmNYvczzJv7Gp2d/XT2Fejsc+jqSdPZM0BXv0tHn0065/LBi3rLVIlYCmFLIWzJH0rPF7geeH5Af8ZnI3PYVegqHL5nku2npxg/PMaEqdvTPmoaavuJqMZnG9a8GWtxww03cOqpp27QpgLkrNSTTz7J9ttvT9/bS8l3ryUA5XSeJQ++iJsvc+vip+ge6uOHXzgMLWLhFW1EIHDyRcpDBfySjRELI7wAI2phpaIYcak2Kw/lEL4ABLGWOiKNSdJLunHzJfSwKZWEgJMrUerLSALoBzIaKxrCTEYRno+ma9g6XP7CX7B8lYhqEdZMolYYS+iEhYahaGgRC6shgS8CfNdDCelE2urQ66N0umnmzp3L/PnzURSFqVOnMn36dGbMmMGXvvQlRo4c+S+vcWGwwFBHep3/53pz3HHf7fzyjl9y1vFns/cX9sZ1PNyig27KqpX2gRZUtD4mPcamtBKKW4QTYVBkW+m9996r3s80TRYtWsTw4cOr2/qX9VPOy6v8wA/I9eZkW9bxOfvyH/LEy0985P5feOJFmKbJ7+69ij9f9Be8CrFsntiEqqo4JVmVN8Mm7TPaMMOfrI313nvvccYZZ/Daa68xe/Zsvv71r6NpG64yPPjgg/zxj3/kvvvuY7CQZkHXYsrlMr847xLefPl1vv+LHzNx2iTGNI6gKVFPY/yjqwpCCG677TbOPPNMdt55Z6699loaGxs/8jGbEgIheKGjiOMHLM84/GNZlrTtU3QFti8QQUDRqxRwkY0NrVLw9gXguxhOAVUIdENH1zRqwhptUR1FBHjFHCG/TF1Y47CtRlMTj1KXiKJpMi6ukC8wYuQInnzySaZPW1tJq1bcKuQNYNGiRUybNo10Ov2JUg+CIMCyLN5//31Gj143sWT77bfnjDPO4Mgjj/y0lvIzh/DyBM+O+2SkbQ3UEOrOi/7tmbdP4uNmWRZXXXXVJjtu9D/fKt0YhJcjpOXYeqIFEyvSa3cI3BiooyA8upKi4OC4AUUbirkhisUSxWJe/nFUVAV0TcXQQFddVvb5XP9Ahidfz6CpCo67Pm82TZXj92/ii9vUyF+V1q1QWo7aTNo+Z3z9619ncHCQn/zkJzjO+oPz5XK5qkqqnTwc3/HIruojv7qf0lAeJ1fGdz0OmrAj33zgcub2L2Naw2isRJTkqCbSy3vQrTSB56OHTQLbQ7N0tJBJ4PmVipyKETMIHA8UyK3uw8kXcbJF7FyRwPdRoyYFI6BPyZKxc0Q0k4ZoPUkdhOcTuB7loQKu6rNFfCR5u0hZeJRxybhp8uUi5cDFwUcv6RgZQ7ZaNQ3DMom4CSK9EbbadXtmzZrF9OnTGTt27EaJxL+CcCpMpju7NhS+5GKEDI4+/GjyToEH5zzAPjP3qZzwVMKJ0DqkTdGkh1Y4GSJSEyEUW9saPOecczjllFOqUUDf+9731iFtwDp2LIXBQrVip5saY0aOYc7rczZI3HVd57TDTmOHLbbnmdeexdRNitkS0doooYRMGTCjJmYleivVkvzEpA1g4sSJPPbYYzz88MOcccYZXHPNNfz2t79lp512qt4nl8vx7W9/mzvuuAPXdenp6WFVuRcBWKEQ35/9I66/+jp+evLZfOOC07H23490MctgIc3E5jEbfW1FUTj22GOZNWsWp5xyCrvssgtPPPHEehYUmypURWFEwmDRkE1n3kVXFfwA/IpAw1ur0aj+wxNrDHZB1w2S0VoUVSGkQrZQRBVgagqqYmClamkPQyJkMKKtkXDl4kkgTZej0Siz9p3F/fffvw5xW/OCIhDVVufYsWOpq6vjxRdfZPfdd//4Y1NVGhoa6O3tXY+4NTU10d3d/R+u3ucL0X03G/KB/GgoiO67UdpP/Pi7bgCtra0ceeSR7LPPPkydOpXa2lpyuRxvvvkmf/jDH7jnnnuwbZuTTz6ZWCzG0Ucf/W+9zmeJzcRtY/DzVKOq3AHpr+YXgAD8krxCcPtQACvIY5k6NY0hMEYBAoorpOebGqn4sklvtplTIhyyWyM9fXl+eecAV9/bD0DZWUvghBB4RgtER4JZj9qwL4qR+vzXYDM466yzGBoa4sorr8S2152/aGxsrLYrNEOnbvJw8p0DmDUx8j1DRBprKA9miORKnPKFL3HZa3dy/JS92WfU1hT7ZERStLUOMxnBzZUQXoCdzmMmIhQ6B1ENGR2FAhnL46X5r7BkoIPu4hBD5RxZt0g2KFMMHBQgpoWI6SGKvk12SRmBIKpZpIwoCT1MQg3RatYwyWxmmFmDpusQCIQiIADNMog0JNAsU4art9dTO76Nhumj0UydYbtMQ/8XyMcngaqq1I2oZWDFIIEf4DkepWwZhOCEo0/knqfuZn7/fLafsj1u2cX/0NC/FTXRDA0rFsIMr6vOO/LII6u5pNFolHPPPXe91zfDJk5JtmGd4rrkfMSwEZiGuR5x03WdC8+6kJ1G7oJTdCjZRcJWuErMNE1F01RCMQszYhJJRdZrm34SKIrCl770Jfbaay+uvPJK9t13Xw488EB++ctfsnTpUo444ggGBgZwXZdQKMTb8+cRGZ6qPr4n188Xj9yPZH0NN170O8aMGc3MGVvRlxukKVFPTeSjZ9jq6+u58847q+TtySefZMSIEf/ycfxfYFjCRFHg5c4iUVNDLfjyIlpV8AKBUGSEdCVFGlgbJWpoUA4EUVVB1zRi4RD49hqNkLTkVFWGN9UyVBaEP+TQJITg4EMO5sILL+T8n5y/dhZtA/xEURR23313nnrqqU9E3IAqcfswmpqa6Onp2cAjNl2IgX+uI0T4RAhK8nH/JnF7/vnn10tQqampYY899mCPPfbgD3/4Q/V34/TTT+eAAw4gkUj8W6/1WWEzcdsYVFMStsCRatIgLZMSFEMqReWdkCa7gSRyigaqIQcszXpwNfmhFG7FHkQDfPDyNNXq/OJbzfzo+BH85vaV/PzPvbiV80MQgBuY8jkSM6UY4iNQLBaZO3cub775Jm+++Sae53HTTTd9dmvzP4ZLLrmEoaEhbrnllqo4AWDatGnr3C+7ohctZOL3DOFkpKo4VJvASsbYIxFheFMbFz9xMwvSq9h+1DRGGHWMHj2KeEsdbqJMpmcAr9ZixUAniwdXsjrIsKhvFYv7VlFwyrSHaxkeqqfdrGGC0kA8YpLQwtSEE8T1EKZloYcMVFOnnC1QNAKyXpGBbJqc7jJUyrG00Mujg29jKhqTQ61MDrcxPTWMeCiKETGxs0V0y0cLGwSuR7Evg/B9VM1ENT+bnws5n9bE0Oo0qqZghgxUQ4UATjr0JH57y1Xsf9f+BJ4g152RQgIFzIhV9TaLN8TXia4C2cqeNWsW9957L7/+9a/XU7QCxOpjFNNFPCf4QAlGYuzYseuJGwzD4PKLL2f/Hfcn051F+AGdA50017Zg58o4RRvd1GmwdEQgSDT95z/4oVCIH/3oRxx77LGcfvrpTJw4kWKxuA6h1DSNJYsXM234TEDmkhYd+Vndes/t6Viygit+MJsb7ruVWDxGX27wY4nbmue99tprOf3009ljjz2YN2/eRhMoNjW0x012GRblpQ6FsA4L+m1ybrAm30a6NrH2bRfIE6KpyU6JpioUvQBd1YhE45RUQURXaIroTGiJY5kaQlWlMXQQSA92ZEzaPnvtwze/+U3mzZvHtGnTqhW2IJBqcd/zUVQ597bbbrtx6623fuLjamxspK+vb73tTU1NdHR0/OcL93nCS/+bj8v82y+5odi7D+LUU0/lH//4B/fffz8DAwPce++966nQ/6+xmbhtBMJ3pc2H00c1AUGLShKHUhEehMCveLXpKdBrQU2C3wexKVBeIckfgDMgiZ07JP3d0ECLMDDk8OhLeTRVwa38hNiuwNfbUJJbo5j1YDZV96uvr4+33367StLefPNNFi5cSF1dHVtuuSVbbrkl22677ee5VP/fQ1EUrr76atLpNA888ADlchlVVdlmm23WuV95KI9XdigN5Co2GXIwXgQBvu0yId7Kbw/+Pne9+U8efO95lvStwphjELIs8uUiTsXl3tJNxrQMZ8q4iew9YmdOTjQT63DwsyUC263Mx5URvo8QAhUVVSjSRd8yiDTVoFsmMRQS6RwjWhsrmaI5hO/jKbBoaBXz8qt5Ir+Am/ufY1S8ia3qx7JTeAy1poFu6KiqQigVI7O0m5H7zlyPGH3aa+wUHFJtNfQv7Sffn8e3ffac9kV+d9vvePe9d9n3iH2qKtBStoyqqeimdPdf4732YRxxxBE8+OCD6xkmr4Fu6dSPqmdw9SDZNf5qhko4FWF0ZAxley1RNwyD66+/nuOPP57exX2ohoadt1nVu5KxbWNRdXkSz/fnGVgxQN3IejzHQ/+UCG82m2XBggUUCgX8D2VglstlVixdztb77EjZtQk+NLp84ElH0L+ih4t/+FMuufry9eLOPgqqqnLVVVex/fbbc/nll/PTn/70UzmezwpCCLoKHt15F88X2IGgJWriB7BoyEEuXYCmKHK+DQWBwA0EmgIxQyVqKBRdga6ApoLjQ1jT8FSVgtCIGvK70BDR0TSpFPWEh6ZqBCIgHA2z7777cs+99zB50mQ0XZPzpx/IviUAT0gz6G9961sUCoUNXlx8GI2NjRutuL3xxhuf4kp+DtBT/+bjPlvF8/HHH18VMT377LObidumht7eXnbbbTcOPvhgDj/8cKZPnQClxdD/GDg9MqYosCU5Q5GXaOqaE5gOQq1kijYhre+HKnYhA/L/flG2Vv0c+K60EBEBQlG49oEM3/9tF14g+ODv8I7bTmLX3fdl0coSby1Zwdz5P+Gtt97irbfeorOzk9GjRzNjxgy23HJLjj76aLbccktaW1s/9kpiM/59qKrKbbfdxoEHHsjjjz+OEGI9Cb+qq7h5Wfa3EhGcvDzp+7aLW5D/TiWifG+/4wnVxMh097Nk1XKspiSNI1ppHNZKqiaFnymhmQZmPEL/O8txskV6+heT9/LVdotMCjDx15RpK++9WygjPI/EqCaE61NOZwncgGJvRs7NCYFuGkyItTIx2c6xNXEyfol5A8t4tusd/pp9kR3qJnDg6O2ZPLoJzZQzd+H6z7ZV4JZcfM/HKTnYRUe2RV0fhML4YRN45ZVXmXXUvuiGTuPYRqmK9QM0Q/vIz308Hmfs2LEbvY8QAsPSaRrXhGEZ5AfycoZOUWgMN6KpGn7go+s6f/zjH6sE0HM80h0ZMt1ZVvSsYM+tvriOp12uN0+yNVURlvzneOGFF9htt93wfX+DKRO+7zNv3jx+WN/Oe11LMDUDU9NxKrYqiUiMn/36Er556Anc/NsbuOySS/+l119D3vbYYw9OOOGETbpl+k5/mb7i2mrktPoQ7w2UaY0ZhA2VxYM2ji/IuwI3CAhpKq4QpCpqX6Eo2BUfRTeAsitQlAA7UHDsAFNVGCj5bNkcqRI4YK2ljwKqUDnkkEO44IIL+Ml5P6lW2kDOVQpRib0TMKx9GE2NTTz33HPstddeVauajeGjiNt/W6tUqfsiYvCpf61dqoZR6r742e0UrGOpsinODf7PE7dEIsFFF13EPffcw0477URLU4pDZ83g0J0ttmxdhRLkK/dUAV/mjWpR2UK1miDUJHubSqUtqsVl+beclg9TTHBXVXJMZaJCR5/NsRf38vICG3sD4oS35i1n5FZfw/N8pk6dyhZbbMGsWbM455xzmD59+n+tv9J/O3Rd57777mPKlCksXbqUiRMnrnN7tLWO9NJuRCBwSw5uyabcn8EruwSejxEFPWwSqo2jqAqptka2qK+hccsx6KHKfJSpk5w2huzyHjzbJTGikaGFqzETEcTqfgJvTSi9Iis8uoXvuqiaJgvBmooRi+CVHAqd/fiuL0UEgcArlhEBqIoqlaeWQeD5xDHZsX4iO9ROYFWhn7/1vsU5r9/CVv2T+NpBX2HPL+yF8NbP0PwskOnK4tseZsiEishuypjJzJ3/FgMrB2gcI9WNqqZ+ogpgJpPZ4PdFBAI3V8IvSA8+RVWIpyIoqkIpXUIEguJQCVVV8QOf31xyFXtvv4+cwcuUpGFvtoTru3T0d9CaasOzPTRTRTfkz6pTsP+t2bYNYdy4cey///48/PDDABskb++//z71sVqmtemsGuqmNdVEV6aXVCRBbTSFqqhc9Pufc9pR32DbrbfmSwceSGOiDgJ48cUXeeyxx3jhhRe47777Nuhnte2223LEEUdw/vnnc8stt3wqx/VpY6DkrUPaAKKmylYtEaK6yheaw5S8gIcWZ1mZc3mru0jBFeiBQFchrMtMWVWRlbOBbBEj8ImaFinLJKSrmBq4QcCYhI7neSiKworlK3jo4YfWqhAV2HuvvTnuuOPo7uqmrb2t6tPoCx/ctS07gWDrrbfmjTfeYI899pDG2x9xMVJXV8f777+/3vZUKkU6nf60lvJzgdJ8uDTX/ZcgUJoP/0z2Zw0+WNFeowDelLDp7dHnjFAoxKGHHsqhhx5Kse9NHn/kPu6+71H2+NrbNKYU9t8uzJSROhNHGEweoVObUKRHm5eT1bPYFIi0Qu5tsFple7W8WooR/IIkc4FACJ/eIYcLb85y02MFfH+9kZq1UFReeuklJkyY8C/FoWzGZ49QKMQrr7xCc3PzOv4/APH2epKjmuh44V3soTxutoCiqASej+9I8pYY0biOj5cRCzNst2lyPiYIZKu1P4tTKJNZ3oPwA8xEBNXUSYxuxs0WcUs29lAez5EnDSsRQ9FAj4QkcYuGyK3qA03DiIYRrovneLL6o8gqU6S1FsMyQVGwswUECm6hRIsa51vTDuDE6IH8beVr/OAPsxn5wK3c+pfbmNH62ZhTBkFQPamVs+tfeU8cNYk/PXYr2e5slbh9UmSz2Q0SN2eogF9e6/EmAoGXLxOLh0g0Jehb2o8ZMdA0jS/v92UO3PdA7IJN35I+fD/ACBuYEYPuoW50TacuWotdsNE9HSWm4vsB0droR3q2/StoaGjg/vvv59VXX+U73/kOb7755npK51WrVhEEAclIgmQkwdS28Qzkh1g52EnelpmuNe0NnHXJeZx56hm88fZbvPnKG8x77S1Avg8fF8H0ta99jSOOOGI9A9hNBR8mbR9EwQvwBCQsnSMn1fBmT4mEobI865B3fPxAUHADTFWlzhIsWNaN4rjELRUlq+AHBVqHtxAydBKGoOx6mJqKQNDb28tFF13EN7+x1j4iEo4wYvgIFi1eRGtba1XBLAL5yy+E/D4qKNTW1TI0OCTjyILgIxXbprm+YAbkPOJ/m7uXoseg/eR/2cfts46/mjt3bvXfm6Ka+n+euH0QYS3DQXtP4qDp71E6bYC/v5zjyTds7nq6wHsrPDoHAhpTKhNHhpg8KsPEkSEikSFcEri+iisyuOUhnOIArlOmWLJZ3uWwtNNjSadPvvTJvlSFQoExY8ZsJm2bKOrq6jjqqKN4/PHH2WWXXarbFUUh1lpHzdhWVs2Zh29LF/Y18Ve+7VLsHSLe1iDvryokRjTKOKKISecL7zLw3moGFqzEzZfRQybxYfWoukbtePnjkVvZR2lQEkYnW0RBBtyrSPf35NhmAseThC8WJtpUQ25lH0LIK/vA8fBtFyUQ6BELr2QjvIBQbQxNU1FNDbdgoxfhq1O/yFFb7MU9y59nh9135rJLL+O007/zqZ2whRBke3IUBvIEgcAulCnnbHRDq57kVENjytgpLFm5hEKhQLHs0NGfpmg7REMmrXUpIqGNK10HBwdJpVLrbPMdbx3S9kG4hTKGruI7Hu8snIdlWlx6/mXV24uZSis8alE3so6Ox1czrGEYuqYjAM3QUFHQdJVk86dfGd96662r1bHTTz+djo6OqmDGdV06Oztpb2+v3r8uVkNdrIZABPzt5Se55XfX8fwTz1AulbjxN9euV7lrbW39SAXdVlttRV9fH6tWrVrPWmVTQPAxP7FrbtcUcAPBpPoQk+pDFJ2ARWmbxYM2ugq5/m4sxUczVIwK+S6VbHq7u5k4spWopjKvp4iqKdSEDRoamxkYGMC27bVpFYoUuCxesphdd91VqlE/TKwq38tkIsnQ0JC8/WOOQVXV9WYc12zfUCV2U4c69icEhfdgaM5Hkzc1BDW7oo79yWe6P0IIrr766ur/99hjj8/09f4dbCZuFQgRIIqLIf0ylJcT1hwO2tHgoB3WLJEgnVd5b3XAe6sN3l1l8I9XctheAcPIYBgGhhnGMDSMwMegTNiC7acYHPNFgzFtJqNbTAzT4Mk3Pf789yx/fa5AIFRsx1/HdV/XdZYtW8bkyZP/T9ZiMz4eBxxwALNnz+aSSy5ZZ3uxL4MRC2PVxEABN1fGLeZxsjZOroTwVyC8gIapI4kPb5Rmu7Ew/fOW0/PGYop9GdzKbJxXdhha3CnjruqTWMko0aYaVvzjDfSIhV928MoupmWgh01E4FPoHEDVNdxSGbdoI/wAKxlB+JUWqxComo6iqYiKWa+iqQSeh5WSAgavZAOC0mCO+skjOHffM9lzh10497Kf8/Cjj/DHP/6R1tbW/3gNM91Z8v356v+tqIVmahSGiuimjl9pz8ZDCZLxFC+//SZ9dSZrBv36gJU9Q0wb3UZDasNX4HPnzmXKlCnrbAvs9asVQgj8kktQdrEzJUS+zIOP/JV999wXy1xX1e07PkTBDJl0DK1mRMtIQslwNVjeilkkmuK49obJ4X8KRVHYb7/92Geffbjllls466yzGBwcRAjB/Pnz1yFua1BybBa89x5//fM91W0bOskPGz+SolMi8uFMrQoikQjTpk3j5Zdf3iSJW11Yo7uw4XWP6Gp1Jq3sC8re2uOPmCrTGkL4gaA3nccTPmNrLFZl3arQQ1MB16ZcsulUVOrDUtwwWPax1DiqqtLT3cPwEXJdVEVl7LixLF60GNgAafsAkskkK1euJBAB2sfEOWmatsH37r+VuCmKhjrjzxvNKkUNA+JTySp95JFH2G233TYqAgmCgO9///s8//zzgDTrPeigg/7t1/ussJm4VSAKCxGFxTIM3s1SnWf7AFJxje0mm2y3RS1YlTB6PQlmg8wujYwDNBh6QSpK8aUwQQRShQqg6OyzXYx9dmzGEfX8Y36KPz/4Pg/+810URaVsO6iqypIlSz6SuHV1ddHR0cHMmTM/k/XYjI/GPvvswzHHHMOKFSvWG9QuDWRkkHuuRHkwh5MrErg+IhAomoJTKJNe2k18eAO149tRFIX+d5bjld0qaatCQKFzgEh9EjtbwIhYGPEIluOhGzpOwUYzNbx8Gd/z8R2fSGMKPWzhFcoU+9KEa+NoYRO1bKNqJmYsjBEL4zsebsGutCkFmaU92NmiHMVUVXynB1VVKA9kGV4T47bTf85vn7qTaVOncu1113HYYYf92+vnez6FgcI628o5m3AyhFdyCQJRNdoNvIBJoybx3LzXaJg6mXjj2opQIATzl3ey8/SxaBsY6n711Vc59thj1924gYKhX3LwS/KEr2o6vu/z0D8e4Vc/+cU6bUEzbGKvyVMMBN1D3YwZNRozYiL8gFhjjHh9nEhNBLf02RC3NdA0ja997Wt85StfYfbs2cyePZvLLruMffbZZ737Or7D1jtuy6lnfYfrr/wDnrsBU2HToG3CCOaufo9tRs3YaETWdtttx8svv8zhh3+2c0b/DhoiOklLI2OvW5FSUBhds5aAaxuoGquKQmPUIJ/x0UMatSEd2xPkXR8vgJaoRsJQCHyPiKGszbAW4AQqtQ2NdPd2M3LkSARybnL82PH87R9/W2sYtxHulkpW5tMCPlac8P9bxQ0kedPGXYAY9QNE993Sp83LgJ5EqfsiSvPhn0p79PLLL+eYY47hoIMOYuedd2b8+PEkEomqAe8NN9xQbZOapskf//hHTPPT9a78NPDZ6fv/2zD4lCRYgbPWiZFK7ugaCJdqDqkzAH5Z/jtwwKivBOQKMGLSz00xpAGvZlbC50MycD7URt7Ylj51R/Y/+GvcfvufGexdwp//cjsHH3wwqqqSyazrU+M4Dk899RRnn302M2bMYNiwYVx11VWf0+JsxoeRSqXYZZdduPfee9fZHmlMIbyA8kAWt/D/2DvveCnqs4t/p+1sv73Re0eKgICIgKDYxV4wKLHFXmMJGqMmsRtjL2CNRmPDXlBQVEQUlSK9l8vtbevU94/f7t57pYivXffkc+Nld3Zmdmbvzpnnec45CaxoAtd2U3fbLlY0QbyqHtuy+Mcjd7GhthzXcUjUCxLj7qDXI8tiTg7HJbq1hmR9hFhFHckGESqfqGkiXiusSBzTwmiI4Qn5kVQFx7Sx4iauLRRskirjCYkKnKwouI6D2RSnYd02YjUNWLEEViSJlTSxYkkaN1XTtKWGRE0TStTm1kuu5fpzruDMM8/kjDPO2OEFZHdgxs3tKhCJpgTegBd/gRAJKJqSMtfV6dKlB+s3riEZE/N6LWHZDjUNrUkgQF1dHatXr2bo0KGtHld9nlbkzXXcTOtUkiS0gIfPv/4CyzYZOWgvaFGZkRWZws6pWT9ZorK2krZt25HbJofS3qWU9iglWBjcbfHEDwGfz8cNN9zAnDlzmDdv3g4tIfweHxJw/B8nM+ygUa0UsGm4uOR3KKYpEaWqqXan29trr72YP3/+D/kWfjDIksSAYh8dw56UH5tErldhQLGXYn9zncKjSOR7t69blAVUwn6dgCa83NqENAp8Kp1zPLQPahg25Pg8rdSkAC4O+UWlVFZVic+toiDLMj169mD16tUoqrJLQpaTk0NdfR2KumuVNPz2Km4tIalB5Hanogz4D8qer6IM+A9yu1N/0Jm2+vp6HnvsMU477TRGjx7NwIED2WeffTj//PMzpK1du3a89dZbv9jc12zFDXCM2pTZbgLMBnCaaCZsMhmNNw6gCWsQsxbMlEBBSZVd7TjobUENpwx4m0R93Y4KAic5oPh4++uOnHLpU7RtU8TnX05DkmR8wKRJ7Zk0aRKWZaEoCps3b+aVV17hzTff5L333iMYDDJx4kSuuuoqJkyY8J3Dp7P4YTF16lSuv/56LrroosyXbahtAb7CMFZCtCmtZJqgSMgpImKbNrKmothw/PHH8+mnn6IFvCQboqh+jxAomEl8mqgQ+ArDKB6VZH2EaHkdka011DXUE/L40b0aLqlWvyOhBbyoQZF3KquyqOJF48iqiuzzoKgKlmFiNxnCENR2SDbFBHFxXWF14zo4ho3pAo0xQaI8Cr6CMI5lc+Co/RgzcT+OOeMPTJ48mSeeeOI7K69kdfuLmGM72KaNY7poXhXVo6L5POh+D6FwLrGNKwGwktt7o5k7IJCff/45nTp1orCwsNXjkiKjhX2YqXm1NKlFAjWoI0kSz7/9IodPOFS8L9uBlO1IXrtc/Ll+dL9OpDpCVW0VbUrb4Mvx4TouDdsakBUZPeglv13edzom3xf77rsv06ZNY/LkyXz++ef4fM3tTl31UBjKZ3XFBoYcO4aNmzex9at1OC1IqW1YrLQ289pX71Ifa+Sg/mMI6Nub7e6111786U9/+lYhw88FVZbomqfTNW/XxuU98nW+qHBItog9U2SJA3sWs25DgtqYgQz0L/LiumDZNl6vTnFOELdFN8Yrg65KFJeUsHnzFkHQZPF57tmrJ+vWrcNxHfG4u+MWdW5uLg0NDTiu863Cj99ixe2nwm233ca7777L/PnzWbFiBdXV1dTW1uLxeCgqKmLw4MEccsghnHDCCbuVHftzIUvcAKwGXLMRoisFEUNKGe2mKwIK4lCpoHpTSQqkKnOSqLSpAdByRcxVeAioBWBsBSsCWOA6NEQVLri1nGdefQTTtDEtkL7Rjli9ejUvvPACL7zwAp999hl77703Bx10ENdddx177LHHL1LJ9XuA6zjEqhqxDRNPyIc3N8hRRx3FBRdcwPvvv5+5M5Nkmfb77sGm9xcLVSiiiiNBajhZtOXi1Y2cM2kKi+6/hssuu4xrTr+IyNYa9HAAozHONa89RLeCtpwx/DDCHYvxFeUgezQiW2pR/Dr/WPgSnYMlnMg+BFwNWZGRFDFUL8cN4lUNuLZDqG2+IG0elVhVA3bCxLFtXFdCC/kxKurEnJskiVmedJFZcnBNB0sCNekh2ZQQqtd4Ek/IT1Ewj9mzZzN+/HiOP/54nn766e90Eff4PGi6itli3syxbGJ1MSzTEtUqF8yYgaxIFOXnEY+LqpqsbP83kBvcfiZrwYIF21Xb0tCCXmSPih1NYidNHEND0TUkVaa+oYGXXn+F9154A3/Yh+tR8eT6CeT5UTRRqfLl+PCGvVTUVNC5R2cSTYnM14WNjaxIGHEDf95PmzJwxRVX8Nprr3HFFVdw5513tnque3Enlm9bgyvDkFP24/1/zaR+QxVuirypfg+G5vDlluXUxRppSjRx+IAJFIRa3yD27NkTXddZvHgxgwcP/sne2w8NvyYztMzP1ohJQ9JGlSVKAyoFPpV2gY58tWYziRbV3Vy/hy75hZTHxfe+4zgEVQlNFjaKZWVt2Fa+FdMwkZCQZIm2bdqiKAobN26kc+fOGT+3b1abc3JyqK+vx7ZtLMtCVdWdftfvrOKWTmbIYufYc8892XPPPX/u3fje+N0Tty1btrDfuAlMOTCXKfvrlIS9IMWFnQcgZIFeQAa9ENQ8UUEzakTYnR0Xg5SeEiRZw3UMCPRA8uTjJtogfB5sXn9vEaf+eSaRWBLTFHdLdfUNJBIJVq9ezfPPP88LL7zAsmXLGD9+PKeffjqvvPIKRUVFP9ehySKFRF2Eyi/XYLf4EvfmBSke1JVTTz2V+++/v1VJPadTCUV7dMa2LMxIDDOSxJXEzIusyKLKVdtIsCiXxx5+hL1GDmfkgKEM6dOd+lVbCLbN5/KJp3D1y/dy9XuPcO/oW5E1ldzOJTSsLcdTp3PVgGN5ZMU7XLH4SY4rG8HeeT1SkjkX2aPiumA0xfH5csjv2Y5kY5To1hrsZBLHdNACOo5h4qR8qFwpPerWbM2BC45p41g2kgSJ+ihSyqZA9evkFRcze/ZsJkyYwDHHHMMzzzzTrKjbDeS1z6N6XY0wJHVc7JRZbSAvQDJmZCSAyUiS0pJCjGQcWZbQvqEiLckLEfBuv93PPvuM4cOH73T7ikdFSVXuJKkx5Y8H//3fM/Tt0YuebbuA46AHPOhhb4a0pVFXV0c8HqdtYSmKLWNaDrKqoAc8aD4PkZoogfwAmvenq0qpqsoTTzzBoEGDOO644xg5cmTz+5UVOuS1oSyniEgiyoDTxvDpnW8Q2yZUyv42OTi4GJbB5voKPlu/lOJwEQf3H9uKRMiyTJcuXdi0adOvmriBaJl2ytl+hink97J3v65UN0RJGAZ+r05+yE8iaVG7LUrCdNEkUqRNQkKirKiAuto6/nz5n9mwYQOWZWGaJpIkceIJJ+Lz+zANE9My6dSxE4892uyFl7b4cGwHWxLzsCK9ZPvKdDKZ3OFNUm1tLXl5P22VN4ufB7/7GbeioiKuvebPvDNvKx0Pm8f4C9Zzz8wEW2pVQdjkQGpOzQeST4gRlLCYYZM10SZVgkiy+EOSZA+SGkAuOx65wxnU6/tz0hUfc9TZz1JTFyH5DaVZ165dGTZsGIsWLeLyyy+nqqqK119/nT/+8Y9Z0vYLgG1aVCxc3Yq0QTOZm3zk8bz44ouUby3PPKfoGm1H9kGSZBTdk+myu5aNbaa+nC2HujVbkVfXc+2Zl3HOJedTHamjdFhP2o/uz+iTD+Ht518hv7SQY644jS8XfE7FwtXEqxqwDYvicD6X9J3EqR3H8vy2+dy6/jVq1ISYbZPE3b7qFwHsyWgCT9iPFvCh+oX60YobotLmukia2lwFSBG29HSAlCJxZjRJtKIOzasJ25O2ov1YUFDAu+++y5YtWzjqqKNaZbl+Gzw+DyU9iskpDaNoMqGCAEXditBDOr6QV2xclvCGvAR8QSwjQc9e7VBTbVZFlulQnEffTmU7XP+CBQsy4h3HsjHqosTL64mX12PURVu1CT15Yq7OSpg8+vQTnDzpeJyksA2Jb2ugceU2jPpYq0rJhlXrCAVDyAmXZGMCqzGBHUm2UojHG75jgPYPgG7dunH22Wdzyy23bPdc+/w2eDUvhm2i6Rq9/jgKNZhqyZeI2DDHdUhYSVZWrmXems/ZXLe9c/zOqj6/JUiSRFFukPbF+RSEA0iShFdXGVTip8CrEPYIlWqertA5rJEb9BONRpn93mxmzpzJa6+9xttvv00ymeTLr75k3rx5fPb5ZyxatIi6uroMGW5JzlzXxXGcTOXN3oHxdV1d3Q4NkisqKigpKdnu8Sx+e/jdEzePx8OxRx/FO09MYdWrh3H42DKe/8Cgy/GbGHVOJbc9Z7J2mybm1pSAiLOSNRFCr3hFi7RVCLwsCB7w8quz6NZ3NC/OfAPT3F5hpqoq559/PtXV1Tz//POceOKJ2VSEXxiiW2uxEga2aeHaNsm6CPHqBho2VrBh1hcEqkyG9h3Iv675J02bqwHRVnUsm7JhPfEEfei5ASRVQVJk4c3WrgBZkdn07ldUL1rHyMKejOozhItvvgYjmiC/Z3vaje6P7ijcd/UtHD7uIE6/52renPsu8eoGohW1RDZXE6uqZ6C/PTf2P5m2wUL+suRpXm9cTLBTMbnd2uAvzMFKWkQ2VFK9dCPJpiiqruIJ+1D9Yg5ODfhwUxUvkbotNVfcJMHerIRBsj5CoqaRtW98RqAsH9e2qVq0jk0fLCa+rJznpz9FTU0Nhx9+OMlkcrePr6IqhIpC5JTl4M3xoXoU/Dl+ctrkUNarhOKuhQQLAxSVFRJLxBjQuwOjB3RnZN8ujB7QjR7tS3ZYlaioqGDz5s0M6NmPeEUDTasrSdZEcCzxXq2YQbK6Scy3AbJHxVsc5suli1i3aT2HjztImCabNnbCxGxK0LS6gmRNRFxcTZv1K9dQVlxKrD6OlRSE3IwbNG6uE61Tdm0B8WPi3HPP5fXXX2ft2rWtHi8K5VMUbG59agGdvn8SXoTplqkLWI5FzIizaPNyXvryHSoaqlutZ2dzVr91SJKEX5XpV6jTp0CnU9hD26CKX5Xw+XxEo1H+8Y9/7FKJqKoq11xzDZIkbffZTVfv0nAcZzuCvLPKWpa4/X7wu2+VAsh6AY63E+276pxXGuC8E2NU1iZ5ec5WXnhvK9Me+IqOZQHKiv2UFPgoydcpCsXF74UGRW2LiSZXs2FLPRsrLDZWf8nrb71HTU3NLrer6zrFxcX4/T/tHEwWu4dkY4zy+cupW1NOsiFKvLIex3GJ1zSSrIug5wZwTJtjRh/Erf99kDOOOhnNrwuDV8OisG9Hkg1Ryj9ZLiKtJAlJlrHion0iq5BsjOIrzOGCAyZz/B2XMOuTDzi8KAfbEFmdsixz0cln0k7L5a9P3MlB+XswwdcT1xYGvrJl4y8Mc0qXcRy052hu//AZVtVt4e+TL0SPGyQaohhxg0R1o7D+kEVFUElFMcmKhCS5Yjyrpf2NLKp2skdB1TW0oBdfcQ5awMu6tz8nv0e7TJvRAmiK88SN93DSn//EySefzNNPP71L9/dvIlYbo3zZNlEFk8Dj0wgWBgnkC+FP+6L2maQKRZZ3aboL8On8T+nRrTteV8Woj+EYFo4BUsJEyxHVNdd2MCMJPDni709SZB579kmOPmQSAa8PO2mlBBsigsgxbYzaKIrPg9WUoKq8kpxAGEmiVZUN2yFaG0UP6HiDP8+Ac/v27TnyyCP597//zb/+9a/M447r0LGgLX3LutMQiyARRc8LULRXJ77pk+K6LqZjs656I28ufZ8/jDgyUyVSFOV3SdxAHBfXdVG+IQbw+/3E43HGjRvHHnvsweeff74dcZckiYEDBzJixIhM6LzruqT+AjPLtyRwjuO0Ini1tbXbxe1Blrj9nvC7r7hlULAfkuKFQA/wtqW4pJTTjhvE64+eRvmaudx556388cQJDB3QEd0fZE2Fnxffr+P66Zs47sKXOO/aV3n2jZWU1yl069mPs846i7333ptAIIDX693hoKlhGGzYsOFneLNZfBvMaIJtn67I2GLUrdpCw4YK6pZvIl7TgOu6JGqbqFq0np7JPGLRKO++9x51a7ZiJZqjiEJl+YIAqSqSJOO64CRNjMYoVtIksrmaRHUDXlfhxFEHc/d/HsaMJTOh9MnGGJHyGobkdeOKTocxq2YJz1R/imWYOKaFY1qYcQPN72WvvfbiobOuw5Qdzn7gOuJ+SNQ0Eausx4jEcSwLK2Gk1p8UHnPRJJrfi+rVRFVQloXiVRf/dlNh7ppPx1eQg+Lz0LB2G02btg+5VhIuz874D1999RUXXnjhblebKldXsmXpVpKRJJGqJpoqm6jdXEfV2moi1RH8uT4KCgtIJBLbxTztDPPnfcLgPQYB4JrNBMN1XOxYc0WwZYJCU1MT/5v5ApMPOxYzksRJWoLwJUyRRgHYSZP41nqM+hiaI5NIJPB5lEzlLrMd20VWJPTg7s/8/dC48MILmT59eitroTTR6F7SiT3a9SSkB5CAvF6lNKysaHXOJEnCo2jgwsbacjbVNY8D/J4VjGmSlTEbSMHv8xOLx5CQuOWmW3Z446JpGtf97TpUVRWZwa7b+u9EEuR6VyK02traHToKZInb7wfZilsKcqAbTtnJSA3zILkVFxX83ZHyRlGg+jiow0jc5BGQ2IBr1IqZN08xGJXCGkQNI/k6gq9zK6WoZVnMmjWLGTNmMHPmTFRVJRaLASKiZtWqVT/TO85iV2jcUImTygmtW7OFaHktdtLANCxc08YTElWaWGUdqldjn04DeG3OWwzt3Ifuh4/IrMdMGKheD1LK08uKJrESSayE8FZrjCaI1zah5wbZr80ePPHBTD5e8hkTxk+gdvkmzFgSK2mwbf4ySiwfF+ftx911c4jaBpPDw1ABK5oAXBzbIaj7ue+iv3PFXX/nzIf/xoXtJ1Lk+HAtGxeXcqeRpqY4vQNlOJqKbNuoXl0kFSQtXFkoY5EBK6WeMy1sy8FoiIo5vaRJsiG2w+Pmt2TeeustRo4cSVlZGVdd1TpAurKyklmzZnHiiScCkIgkqdlQixE1kCRQdTWTq2rEkkTrYoRLwpi2IFgNDQ27Nfv52YIFTNh3vx0+5xiCyLmui9TimnnP3XfTq3sP+rbrjpu0RNs4hbRliB03kRUFSZbw6V5iiRjegI4kSyRMG8twBGHL8aLn6jQ1NREKhZrX47q4loMkS5nPxI+Fvfbai/79+zN9+nQuvvhiAFRFxefxkhfIJdcfpiCYT9KxCHcuxGhMkKyJ4i0MIgGaogEukWRUeEvGGiFfJGb8nitu6RlS13GRJRkH8dnw+XzEYjFkVWbvUXuz9957M3fu3FYEt0ePHuy3n/hcSqlKbkvyJyEey5BD2I7E7Yq4/VJ9x7L4YZGtuLWA7GuLXHo0csfzUTqejVI0AVltthmQ9GKknKHIRQcg549GDvYS/y05ArlgHJK/63b2HqqqMnHiRJ599llqa2t56KGHGDNmDIoiTBqzxO2XiURdEwD1a8tZuWk9r234lBuXv8Sflk7nrepFWImkUIhaNmbcYO+2/Zi9+FNq15VT8eVaUZEwLay4QahDER6/F0mWcWwLWddAElmjtmVjxpJEt9bg1ic5Zuj+3PXEwyRqmrDiorqUqG7AjBm4pk2hEuTivP3YajfwYMOHJG0T27CIVtZjGxaOaSOZLleMn8KIst7csPJ5VtRvxnFdDMPk7m3vck/1bGqtOK5l4xi2CEJXFGRVQpZSioS0t5njgCThmCZmPEn115twHUeY2O4ALiIm5s033+Tmm29mxowZmefWrl3LnnvuyeTJk6mqqgIgXh/DMiyMVPtY82r4wj58YS+aV0NRZGJ1MXw+H16vl9ranRvDZvbBdfn8y4UM6jcAsykhRAZxAztpZiqIViSBURfFbEqQqGyken05t916G1ecewlyyt/OMe3mHqgi4abOldEQw4wmCeg+quuqOfKCk9A8CuGQTkFhgLziIAGPwgUXn8f1112f2S8rkiRR0UiispH4tgaS1U0ZJeuPhYsuuoh///vfrULJ2+eV4VE0+rfpQcDjw6t68Pp8hDoX0LCqEkWS0WQNXfMgSzKWY9OUiFITa67c/R7ECTuDLMsiX1hWmkmXDIFggHg8jizJSJLErbfe2qrFqes6//jHP1BTYqC0t5uiKML+I/U/F1e0UBEh9N+cg8tW3LLIErefEIFAgBNPPJHZs2ezdetWbr/9diZPnvxz71YWLeC6LitXruSJmf/jtKsvYN/LT+Tyjx7m+W2fsiy2VbjL6yFc08GIJrBiSWIVdbSJ+dBkhS82r6Bm6QaspJm5KPuLcvAWhgi0ySfcpY1ILLAdZK8HRRNFbxcw6iKcfOgxLF66hI/mfUxu1zJkRSbZEMOxLBzXAdclrPi4IHcsCdfi7vr3iTlJ0TZ1bAJt83Eti6YNlRxdNIzDCgZxZ8UsvkpuZnZsJREngYPLk9Ufi+qP42JGE7iWDQ5Imir0NZqKpMnIXg1ZU8BxMZriRMtriG6rw4yKLNRvwl8kxDV77LEHL730Eueddx6vvvoqCxcuZPDgwZSXl+Pz+Zg1axYAtuWADK5ti6qgbeOmWkUSErImYyYE6cjLy6Ouru5bz+GGDRuob2igd7uuotVpO1iRJGZDHKMxjlEXIVkbxU5YmTm3e+68i47tO7LfyDGoYR9Ki3QF2aMK55+EiWvYuLZDvCnKA888QkOkiYXLvmLTxg1gu6DKoCp4Q17OOHkq9913H9XV1VgRQfhatlTtpEWyOoL7IxKgSZMm4TgOb7/9duaxknAh3Ys7oakafdp2ozSniKJgHqXd25HY2oiqqGiqilfV8Xq8KLJCQSAXXJeaaL3Yd9v+3XpKyrIsyJks8a87/8W1f7uW5597nsrKykw3xXVdBg8ezAEHHJA5Tu3bt+eQQw4Rn21JQpEVkbCREnooitLs846otKlKaz8313WpqqraTlXqOA7r16//RebHZvHDI9sq/ZlQXFzM+eef/3PvRhYt0NDQQJ8+faioqED3eIjFm60c7NTgvu26dMspwzFskamha9imjaLKjGzThzkrPmefAXshawqeoJeiPTpjNMbI79mORF2E6qUbSFR7ULwePCE/ikcVBE+SCHcpJegLcOi4A3jjw3cZcuZACvp2oGrROmSPiiwrOKnenl/2cE7uaGY0zOOO6llcVXoMydoIm9dWCCFCwiDZEGFMsCch28MjVR9i4eCkWjDLk9v4IraRwYGOYsZGAlIxSLIkI2sKek4AoykuEiASplDF+nX8xTkgSdSv3Ex+r/YoKaGAnhMgUNqsdhszZgyPP/44xxxzDI7jYJoiRSIej/Pqq69ywgkn4PGqeGS5VawUtosru0geFV/Yh5KKF9pd4vbp/Pn07dUHn9fXXIXUVbAcnIQh0iEMC01XcQyLhooa7n7sQe79xx1Iirgge3J8WB4FJ2HiOuKoqT6RUrG1qoLJfz6DVRuEYtOne1m8ZhkdunVF8QsrE2/Yy9D8IQzbcwi333obV194xQ731bUdrKiBFvpxRAyqqnLwwQfzzjvvcNBBB2UeL80poj7WiOO6dCnqwJebllFZsJ74tib8mg9JkvBpOiE9QK4vzJ6d+qPIClVNNRQEclm9ejVdunT5Ufb5lw5JklBU0Sp+/fXX+eijjzLCBMcRaQkDBwxkyJAhTDxgIq+99hoA1157LY7tICuyyDJNWfC4rktDYwOhcKqlLoloNUVRsB0b0kIkWaa8vJz6+np69uzZap9WrVqFYRi7zLfO4reDbMUtiyxSCIVCDBkyRMwhxnfsv6XLGoV6CMWjogW9aH4dCRc1oDO8uBfvL/2UeGMT0fIaIuW15HQqxpsfwhMOEGpfRLCsAH9RDoGSXHwFITS/F29+iGCbAvx5IeyEwYRx45n72TxiFXVUfrmGZGMMWVGQ9VSaR8qY1iNpnFkwmmJvLvdueJua1VuIbK0h2RTHjMSxkga2ZTEo2JEu3uIMaQOwcXiyZh4x18AxHVzLRZYl3FRLTfFoyJqKNy+InhNAzw3gCfsJdygmt3MZuV3L0II+4jWNqF6N3C6llA7pLubjWiAej2OaJoZhZIawXdflzTffxHVdPKqC7tUI5H4j+cBxCRX48eX4COQJZWl+fv5utUpXLltJ985dRdJDqpooAYpXRVIUFI8qLp6piugjz/+H9qVtGDd8NHKKJEqKjBrQ0XL8qAEdT64fNehl3pLP2ffkg1mxbjWGKVrZSSPJkg3Lye9QQF7bXPSQLixEGuNcetr53HPvPWzbtr0XWuatGtsHvv+QGDt2LLNnz97ucdu18Wo6BYE89us1kj069SaoeOld1pUOBW3p06Y7g9r3ZWyvERSHRIXHcRwaGhrYunUrvXv3/lH3+5cMSZJQFIVjjj4mYwOSbh2vW7eOF196keuuv46LL7k40w496sijMh5tcmqkJl31bqhvIBwOtwqjty07ozp1bAfLsvhi4Rf06NGDQCDQan8+//xzBgwY8IuMIMvih0eWuGWRRQqyLPPMM8/Qt29fNHXHX4DdCtriL8wlUJZPbtcy9Bw/3oIQikeje6gNHlQ++HQeDesraVhfQd3KreR1b4Me9iPJMsG2BfiLcgm1K8YT8gtCFPSh+TxoQS+qT+fpF59lzab1fPH2x2z+YAlmNM7ypq0k7CQgi4oRLsjg8eqc2Xl/YlaS+796RYgeJISthiPajWuMSlYmticOhmvzfPRLvLkBFK+GFvKLrFOfjuIVakJfQRhfYRhvXhBPwIeeG0QN6Og5AXK7tSGvR1va77sHed3bbhdcfssttzB16tQdDrE3Njby9ddf45oWeW1zKeiUT7AggObX0AMe8trmklMQJLdNDppPnIvdqbi5jovZEMOJmyQqG7GaUkIQxCFzLAc7YYqfuEUsHuOeJx/ioj+cLUQDioIa1HEdBzuaxEk2e7ndOeNejjl/Co3RJiy7mWzZjsP8xZ8jKXJq+3GsaBLHtBk+YAgHjJ3AhCMOZPXaNTvcZ0n+cVuOY8aMYfHixdvZE4W8rYO7i/ILUR2F/u16sVfnAYztOYL+7XoS8jaThFx/mGXLllFcXPy7zkp2HEGk9t9//52aTieTSSRJ4shJRzJ8+PCMylR4JiIMrsX/0djQKIibBPLOLssufPnVlwwYMGC7pz777LOM2XQWv31kiVsWvyts3LiR6667juOOO45DDz2UcePGMXz4cPr370+XLl0YMmQII/caTk4wlLkrTkOVFfrldySnYwmdJgyioFd7NL9XKD/jSeyEwZCi7ny6bglVi9dRu3wTNSs2Uz5/BUUDu9BpwiD6TB5Ht8OHE+5YiOJRkSTwBL0E2xQgKTL1QYt33n8PF3jio5dJ1EVI1sf4z/r3WRjdiKzJqegsFc2vowV9yDGDs/L2YXH9Bmau+5hkbRNWTMyyucDjVR+3qralYbk2n9SsZEn9BlS/jubT0fw+8vt1pN0+/fAWhPAVhJE1VSjoVAXN58GbG2h2fd9JuPy1117LFVdcsUPjaRC2CG+++Sau46LpKoVt8+jcvw2d+pTRvk8pxZ0LKOpcQLDduh6nAAEAAElEQVSgmVyUlZWxcePGXZ7f+NY6kT9qWjiGLRSxMQOjpolkQ1R4CqeIkpU0ePq//6UgN59xA0fiJAwcwxIzbbKM7FHRQl5kv8YfrvwTNz34r1ZD/i2xbM0KUCTshNFqjk2SJabf9QAHjtufsYcdwCefzd/utYpftJofe+wxjjvuuN1qB38XFBcX07t3b95///1Wj5flFKWUowI+v594LEZxqIDCYN52M2w+Tac4XMiyZct+cy25dGLB7ljYpEmbaZq0b99+p3Nluq6z3wEH065HXxxZo7ymISM8sExLbA+hTG1qaiInJwdNFbnDO9uPL7/cMXH7/PPPfxMZnFnsHrLELYvfPJLJJM8++ywHHHAA3bp1y0QhHXjggUyZMoVLLrmEm266iRkzZnDlRZexfvkaGqORVpJ8AEWS6de+O/7CMJ6wn6atNWghP768EI4NyboIYdlLYyxCrKoBM25Qv2Yr1Us3sO6NzzCa4kiSRJuRfeh6yHA6HziEDvsNpGhgV7x5QcIdi5jx7wczd9yz1i/ko82LiVXVM8TbkfmRtah+L6rfkyIXwpIA2yVH8vGnwjG8VvsVC6pXYZkWd2x5kzsq3qbWiu702Niuw8Nb5mApLqpXI9y1lFBJHv6iXIr6d8KTE8AT9gp7iJAX27CJVTUS2SKqN8GyHVddunbtSmlpKbqu7zDZIB6PM3PmTGRNwY4bIk7KtNF1Fa9HxSOBqreueo4ePXqHLb+WiG6qFcq8zIUYsB1B4uJm5oJoJy2saJL7//coZxxxcqrFK2E2xrEiCZBAC/vw5AexPRKbt20V9iE7GchPGgarlq/AqIsJWxVHLKuFvCiKwo3X/p0rz72Ew048mkefejyTLqEGdZTU+3z++ed57rnn6NmzJ3Pnzt3l+/yu2FG7VFM09mjXk1yfmK3y+rwk4gn27NiPkV0HE9BF+1qSJIpC+fRv1wtVVli2bNlvpk3qui6WZWGZIl4qHTO1I+Lkui62bWMapiBetiB6kyZN2q5FKcsyeQWFnHbhn3Fc8fn4euM2lm/Yhu2I9aetPwAaI43k5uY2V193wh8XLVq0HXFzHIeFCxfuNnE74ogjfvDPVxY/LbLELYvfLBYvXsyFF15I27Zt+ctf/sLYsWNZv349r7zyCpdddhlnn302U6ZM4ZhjjmH/sePprhUxsl0/bj79Cl4861ZOHLh/q/UlbZM+HbshqTJ1q7ZiJy2h9rQd7HgS2zTRbIjGYii6hifkA1eY4JqxJFWL1qUqaFEK+nSgw5gBhDuVguuSqIuw5aNlvP7VXCxXtBYdXB4uf5+FkfUM8bRnVaKCqoYaHNPGTbn1O5YlqmmOSzsplz/kDOfxhk/4sGkVa5JVrExUYOPg8+h4FA1F2v5Pvt6MctvKl1G8HmTAkxMgVllPoi6CYxjYSVuY80oyqs+D67pEK+qw4kmMphib5y5hy0dfU792G06q2nTyySezadMmXn/9dQ4//HBUVcXnaz3HNm/ePExsrJiYFXMdV6hATaHc/KZVxn777cfChQt3Oudmp7JFJVcSUUGGJZSqjlDjurYLtoMdN3ANi3c/m0tTLMLhoycia2KmTZJlJEXBkxdADQjz3FBOmHlvzOG/9zzGnn0HCvPUb5BRVVH54uvFyKqM5IrYM9krvPGsSALHsjnrjDN47L7p3Hr3v+g2pC9XXH81qzY2R1ItXrwYx3Goqqpiv/32Y9q0aTut8H1XjB07lvfee2+7x/0eX6o1OpDBXftjJU3KcoopDOYzuEM/RnQZxMiug+lV2hVdFZXBr7/++jdB3FzXzcyRNT+Yipn6hqGy4zgYhoFpmoLc2an5M8floIMO2o7Qy4rCNTf9G6/XJ1SjlgW4bK6qI5YwWy8vCWFUOBwW//yGt1sa0WiUVatWMWjQoFaPr1y5EsuydrsKunTp0p1WwrP4dSCrKs3iNwnDMDjooIMYN24cL7zwAvvss88u7QuqFq3FiIhZFT03gN/j46QB+6NIMo8vfAOAokAuAdWHGTNQdA07kaRpUxWSRxVttXAAf8xLEgtZljKDxmYiSePGCiq/WsPWT5ZjmxZWLIEkSdimTbIhAkisWL+a2mRTq/2ycZlR9xGn5eyNikLMSpKn+sF1hWJSkXARd/iSLDHQ255Ks5FnGj/LtEdlSWbKsENxLYuGeIS6pgZqG+tptOM0GjGqYvV8XbuR2z97jsndx+Ivy8dojInBfoRaVATTJ4lX1SORQ063NjRtqkL1NScDGKu2EKusp3Roj4zNwbhx4xg3bhzV1dU8/vjj/Pvf/2br1q2ZC+Cs995l/LB9MWojImIKEcPlyhpWYwKnIIScCpUvLS2ld+/ezJ49m6OOOmr7k+gIY1scMcxNS97XqoIhgQwPzfwPUw89EV/Qh6wJhamwAdm+sqboGuPHjmPfoXvz5bql/PPOW5n94ftISFi2hWEafPrppxwx6gAkXcFJWX2kyZ8bM3Adl4ljJ3DAh+P58JOPeeSpx9lz6BD23HNPTj31VDZt2pTZnmma3Hbbbbzxxhu88MILdOzYcaef3d3Bvvvuy7Jly6iqqtqhgbFH1SjIzScSibR6XFW2v0QsW7aMCy+88Hvtzy8B26UWtIDjOsiu+NyZpqiwuYgqWVowkK7sDhk8BI/Hk0n18Hg8nHXxlXTu1h3HcVFUFcuyUolyEjVNUUKBVJqOK5IYGhoaKCstExuX2GHqwpIlSygoKKCsrKzV459++ikDBw7cbWFCPB7H6/15otiy+GGQJW5Z/Cbh8XhYt24d6k5msFrCaIqRqG9uJ5rRBJIqE69u4JDCwVR0qeattQsIe4XdRby2CbMphuLTQZJwTQvbdLBjCXAdTGxkTcWMJXEti0R9lMaNldhxA0VTkDwadlLc8UqyhGvaqAGdt5fNE+av37iY2Lg83PARNi4h2YtjO0iuhGvb4EjCC06SkD0ajmnSzpOH26I76rou7yz9mDsOvQDFlTAiCRJ1EcxIHE/Yj2PbbN26leeqFnDJ/Ic5smoUEwr64fX5UjNiSXxFOWh+L7KmoIX8RLfV7vDikmyIEtlSTbhDcavHCwsLufjii7nooov46KOPuOWWW3j55Zc575ILWTpnAZKmoJB6T+kZtLiBFUviCTdX6saPH8+sWbN2SNxkjwqqwhGjJrL/4H0QbK11nBCyjOTYoMh8sWoJ/zz3KiRVESbDloPsusia1tyGbgHHclB0leHDhvPC9KdZ+PECbpt+F6/NfQfHcXj2tRf4x6XXYKdIGgi7D0mRU+dbIlnZiBLUGTV0BKNHjqK2ro7n3niJW265ZTsRRyKRYNGiRfTu3ZsZM2Zw/PHHb/eedxcFBQXk5+ezefPmnSZPxGKxb81NrqysZN26ddtVfX6N2OU8m0umLerYqaB3iUxMlYQw0JWQkBWZiQdM5LnnnxM3K/tN4IBDjxR/kzJ4vT4MI4kkSyhIaIrc6ly7rlCV9urVq9V4RsvWvCRLfDzvY4YPH77dTcWsWbMYN27cbr/veDy+XfU7i18Xsq3SLH6z2B3SBmQSCkCQtvrV5UiyhBFNEKuo5ficoaiSQiyZQFIkVK8Hx7SIbavHNm1cFzSf8Gb7vGE9/Qs6A5CsbyJRHyFe3UCiupFEbRPxmiaaNlYRr6onsqWaWEU90aoGmrZU80H5Yix3x2asduoLvdKOiLt0xxK2IJaTySwFF9Wn81J0UasLgO06bGyoZPqHLxGvbRLzPIYpKlmSSEso8OdwTs+DuajboXy4dQlXfvUkH21Zio2LEU2KJAnXxTZsbNMitrUO2bPjO/xYRf1Oj7UkSYwaNYqZM2eyZMkSFEXmmn9ej5MwsZMmjiXm0ayYgZOwcFIE13VdrJjBmJGjefONN3fY6pEUGVlXKMovoH1xW9FLTnM3l1Rv2QEkJFnGsix0ry9jrwKQMCxW1dUzb1M5i9ZtZXNlHWaqZSt7FNSgFzthENtcS4+yTtx3xc18+OArDOzRj7qGehYu/UrMt6XIZ5obpNu/VtLMWIVYMYP8vDzOOuV0brzxxh1eTC3LIh6PM3nyZA488MBd2op8G3Jyclrlln4TdXV15OXl7fR5gDlz5rDHHntsZwD7W4OLmH1rlQ7hssO0CNd1OfTQQwFhsv7g/fejpM6/LMvk5oRJJuJ4NY2QXycn6M+8Lh0039DYQCgUwrXdTLh8umUqyUId/u6sdxk3dlxG2ABkzJX333//7fZrZ8gSt18/ssQti989tEBz2yC6rQ4rkaTyizVY8aS43tsOU0tHo1pQ8fkqmrZUU7t6K9HyGqxYMhVULhFRLRY3bWS/joOwTZtEbUqkEE3gGMKmwzIEQbGSJrZh41g2kuuyurGcqL3jAHUPorKlIqOl/2RbFGdcx8UxbRzT5qvGDVSY21+cTcfi1XXzWbBuKfGKesxIHDdVEVC8HrSAFy2ks0ebbvxz2Kkc1HZPnl7/AZcumMHbmz8nnkyKqlHKwsBxHPzFudvvrOPQtLmKTe8vYv3bCymfv5zoTohc3759efvtd/jPi89w31MztnvelVysqIGdtEhsa8Coi7LvkJH4vT7+evk0YXnyDaheD2rAA4rU+tstdSF1HBcUCVkX5qaaR8vME5mOw8ZIhBrLwFEkIrpERTTG2s2V2JaFGtBxbbs57cBxwYZ2RWW8fMvjXHnKBZxy6VlUVlbiOg6KV8NTEABZava3a1HksePNCtRly5btMkLKtm3efPNNysrK6NOnD0cffTRPPfXUbqkg0/g24lZfX/+txG327NmMHTt2t7f5S4Ysy9vNkrm4GdWobdkZAYLriggq13VTNtYtqmFIDBs6DID77rmP/Lw8OpcU4NUUcvw6ueEwiViMvKCXsrwwXk1pbtO64OAIH7dQOCOUSN94uY6LbdrEYjHmfjiXcfuNy8zmOY7D4sWLiUajjBgxgt2B67okEokscfuVI0vcsvjdwoobVC1ez9Z5y2hYW079mnIStU00bqgi2RAT1TTbRtU1+uR1YHOihm0bttK4bhuyqqZsMsQyjm0zt2Y5/fI7EjZUGjdWkKxL2XJYNlbSwklaoqJk2TipeS7HErW0ufUrsGm+cHtQkJHooRVzdGgwJXKIScEBtFdzm00605BF6LVj2bxQv3DnVTvX4d8rXqXOiIg5HcsWikZZRlaUTCVRclzGFvbjxh7Hc0TxUN4tX8Sf3vs3T37+JjW1NTSsK8dKmkS2VBGrqGslIqhbu41kY1x4p7kuifoolV+uoWlzdet9SVokayJ0yC3lqdsf5qaH/sVLs15rfkseBTmVKmHURjKtR13XeeTuh7jz/ruZ/cas7d6jFvAiqQpqQBfKW1VG0mRxjJBQPCqqV8P1CjLs9XtRvB4UXaVSc4iENJHV6rp4kw6q7ZKwbGojcVzLEZXApCUuuKaI53IdB9d2OOvwk+nftQ/n/fPy1NC7g2uKymh6Tk9KzT66KesJO2mh+DQWLlyYUZpmPgMeD5qmUVBQwJlnnskbb7zBkiVLuPXWWxkyZAh//vOf2Wefffjyyy939THPIBwO/yAVt99KkHnaRDf9t+QibDpMw8Q27Qw5sm07Y5Truq6IpEpVcSVJtEq3bt1KUVERkyZNAgnaFIXp2a6EgFcnFA4Rj8UozQ9Tkh9uJowumXZrQ2OzOMFxRcqIbYt9sGyLj+d9TG5uLr17NYtCHNvhrbfeYuzYsXg8O84O/ibSRthZ4vbrRpa4ZfG7hJ00KZ+/nMjWGhzbIdShGNd1adpSTcPGSsxIHDsqSJcZTYIlvmBjEUHoHNNE0VVUrwczYZKsjbC4fDUjfV2JVTYgy+mgcgc7ZR9gxhLY8VSuqOWAI0hcLB7no8hqABRk+nnacFLuXtxUfCTnF+yHV9YwsBkV6pEhFZnKjSIhKTIoMkvcbVSajbt833Hb4Lpl/8N2bWRNo7B/Z3yFYQp6t0eW5YyNhWOYKK7MiNxu/L3/iZzd80C+rtnAH1++mQc+nUmdlqRu5VaqFq2nZvEGzKY4RmMMO2niKwxvt926VVtwTAszmiBR3USiqlFkf9oOQwYM4v5r7+Cim/7C2oqNGYuMdEXjm7Nm/Xr34drLpzH17NOoq25tKustDgllaKrKJamKiLFSZWRd+LOpYX8mwsxRZLRcH3r7PGpUxPEFFNtFsZu325TKZZU1VVTv0t+c6bgwAAduv+BaNlVs5bI7rsVwbexUzqrs0YSy1XGxoklRSYwmcS0b1a+zePFiAHw+oULs3Lkzl156KR9//DFVVVXcf//9TJw4kb59+3LQQQdxxRVXsHz5ckaPHs3IkSN56KGHdnne4fu3SsvLy1m5ciWjR4/+1m392mDbNslEUpA22/5WTzdJkloZJy9ZuoS+ffs2L+BC2K/TtU0hA3t2JhaLEg54M7Nzri0qd4LEC3FCTo7I+c2QRMdN5RPDu+++KyqdLW7YXNfl7bff5oADDtjt95k2C86KE37dyBK3LH6XaNhQgZVsnpOSVYW8bm3wFYYxIzFs0xR3uwkTozHGgsqVdNDyCdkqbspJ32iKk2yM4RgmZjzJ2bmj6S+XYBuWqLA5DrZp4poOrmFlvqRTfhG4Llgq3FP5Ll5UTgoN5eaiIxjl78qyZDleScVxLF6LLOHAUF88Ho+4WKRc15ElpJS9h6IqrLartxM27Ag1RhPTVv+PNVSj5wbJ796WUMditKBPqGUNE8XrwVsYItihCM2r0y/YjpsPP487jrqYiGRyysNXc/V703l/6acY8QSRLTVIkkxej+0TFFzHIV7ZQNXna2lcVUHTym3ENtdiNopYMcXr4cCxEzjliBM48y8XkIjGsGOGSCyIG6lWdGv8aeoZ9OjanXPPO6/V44rfg14cQvFrQnSgyMJMV1OR/R5kr4qsyfh1H6OH782jb/wXT9iPm7TRk3ZmKE21Wh/HtIuK4lFS5BlkTRHkEHERlxRBjl6Y8TQrNqxh/ORDWbZqOUgSkiKheDXxGkmEX8iaiqxrWNEksiwzaNAgrrvuOlasWMHatWv5+9//zpAhQ3aqhg4Gg/zjH//grbfe4sILL/xWj7vvS9zmzJnDwIEDv7Uq92uBYzsZzzYrZeuzu0grTEEQqGXLltG3T98M0Wq5Da/uxbZt4rE4tiPar7Zjg0OmBdvY2JipuKVbqJk5VSnVoh4zttVNTDQaZe7cuew3bj9xY5hSau+KcKaf25G3Yha/HmRVpVn8LhGval2Zch2H6kXraVxfiR0zcUwHK54UM1G4fBnbyABPW1E9SxpIqpyJQ0qtQcx+JW3AwrFVJFLeYekvUkm061BkXAWSrsl95R/gShL/KJ3EVrOeO+vnsMWsw8bl2OBgvjK2YGEzIqcbkguSLAtbAbl5eFlWZFS/l9N7HMpFpX/AX5qHnisSByqXrEPxerANU3hJKTKRaIRZGxZyy+fP8Wr9V1wy5U/0yu9IvKoBT46fyMYqZF1DzwlgGyamKuP35qL6PAzstAeD+g2gprGeVxbO4f5PXuTeT17guImTmHzEsRRKOa2Oq5M0SdZGMRtimLm5SFaKvMoS8cpGEvVR/nb3TfzhsOO46pxLOOi0Y/n7fbdx/aVXA2SIjWs7GWsNEBee+2+/mxET9+XCCy/kpptuQtd1EY5ekiNa0gkLTMB2BYFzAcfFjCZQdY1/XPk3Jhx3KKedPJVOHTqS69Gptk1sdXuilBsQA+WSqiB7VWHSi4SkKciui+O6yKqKEtDpkJPLrBdf54bbbmT/yUfwj2uv5+RDjkVyFGETgxB1yKqCoot1ff3117u0q9kV9tlnH+666y6OPvpo5s+fT7du3Xa43O4Qt+Li4p0+/1tqk7quK4xwcTGSBra1fSzbziBJUkZdiiT+vfTrpZxw/AkZMic2Iv4TDIi/xcbGRvLz8pttRVIzc4l4gmQySW5ubuZ1aUECEtTX1bNw4ULGjhvbipS9//77tG3Tls6dO6fsRlLm0oqNoiooirLTz9R3mY38raOxsZFHH32UmTNnsmLFCqqqqgiHw5SWljJs2DDGjh3L5MmTf+7dbIUs7c7id4nM95nrkqhpZMOsL6n6eoOoxJkmtmGI2S3LpjxRx0qjkoF6O2RVxoolMRpi2IaNrMoi19KwcGw7pVokNfcm2qEZGwpZRvHrKJqK7VO4p/Z9FEnimNwhTK/9iNtrZrHRrM0oSC0N3oh+zSGFg/HImhiUllxQ0nfMkpi1U1UUr4bi1TCiCeI1TTSuryBR00R+1zZoioKu66iOhN/np7iwmMl7Hcy79zzDiAFDOf36yzjr4b+xJKcef8ciyob3IrdrGXbSxHVcVK8gTJHyWoyGGLhQEMrllH2P4LkL7+Rvp17M0jXLGTX5YM687lI+XDhfDHGbNmYkgR1LImuqEIG4rhBnxJIimqohgezCiZecTkN1PfdeeTOPvfA0s2a/i2uLSqVj2ZhNCYyGOGZjHDtu4NgO7Tq25+OPP+ajjz5i+PDhLF+2nGRNRJybpjiuJfYBV8zzOaaYNbTq49gxg97tu3HkxMP4y3XX4LoubQtz0FPXM6sFeQv6veQGxUyQFTOEya6q4Dq2UMKm2suSKoPt4EoSmqZx7Z+n8cz0J7jxtls4+Zw/UlVegR03ABfFq6GGRbtKzBvufrVnR5g6dSqnnHIKhx122E7JWSgU2s6nrSVqamp2qRa94IILOPvss7/Xfv5SkA5ut017u1b8riDLMpIkZUibLMlEI1EWLlzIoMGDMhW09PyabduoqkogEKBiW0Vq46lWqyRa7ulzEggEBGFLG/DKZF770osv0aasTat9eeLJJ5g0aVJmFs5xnFbCih1lBGfGD7LEDYCZM2fSs2dPLrjgAt577z22bNmCYRhUV1ezZMkSZsyYwcknn/xz7+Z2yBK3LH6X8JfkYUbiVC9dT/n85dSt2kzN1xuIltcKNaktWpq26/BE5FPG+LpT7AkDEk5KjGAnDayEUILKitw8e2aLJAOcFnYUgKyr+PIDJLxwx9a3UBWFAn8uN1W+wTKjfLs80Y+jIpR8ZF43FL+OrErIkoIe8iNrqsg6VWUUj4qme/AX5uAtCJGsbaJxQyXVS9djJUwCbQuFCMIVhNUT8lGyZ3eK2pVx4ZSzmPfMm5xw4gnc9/QjHHL9Gdz11lOs37oJ1aej+b14Qj5Uv47i0YjXNLYSI6iKzPhRY3nk+n/z1dwF9O3dhwtuvIrDzp3My7Nex0pdGHM6lKQuSBKu5eAatmgHuS7TzryEft17c8q0c2hT2oa/XzSNs6+7lDUb12FGEph1MYzaKGZ9FKM+SnxLPfHNdVgJg05l7fnwg7lMmDCBoUOHMv2RGVhNCVBkZK8q5vVS7TDXFmIB10mZFxsWfzn3UmbNnc1Nt9+CR1Xo37kNHYrz8Ac9BP1J2ue5dC4OCrPkhImdMNCCPrSwF1lTUXUNNUWaJUlKeeyJ8+gYJmNG7cv8WXNBhrGnHMYHX85HToknWlZDfoig+ZtvvplOnTpx/PHH7zBxQVXVHV7M09i6dStt2rTZ6fN9+vSha9eu33s/fwlIk5y0inR30dJmR5bELOXMl2fSpUsX+vftjyzL4vFUOx0EWerVqxdff/11a282SUKRlMw6VUVFVVU0j4aqqqiK+Pz6A34O2P8AUemTZWRFprKqkldeeYUpU6ZkZvKctCgpNUeXVsRmsWM8+eSTHHXUUWzbto1wOMyll17Ka6+9xueff84777zD9OnTmTx5cmb28JcEyc2e2Sx+hzDjSRY//BbJhigN67dRtWQDybomMZ+WqorguLwV/ZoFyY1cnn8AHkVJRT9Jwg7CdiFVeZEkOeM5BqTm0FJCAkmoGT1hP7VWlFvXv4aGzLaUbceOVKASEJB1TiocwfCyPriWhZ3yatNzgmJIynHR/DqBtvn48kIYTXEaN1ZhG6bYvCLuy8Kp+TVvfpjcLqX4i3NRPK2nJNru3RctoPPWS6/xrxtu5r2v5tG3pDOHDdyXcXuOwokZ4IIZjeMJ+PGmWrGBkjyCZfmEOhThL8zBkx+genM50x94mAeenIELnHnsKZx02LEEfH5BmmIGdsIQs3CKhBbwEjeTHH3+HygrKuWhG+7k7w/dzktvvcrLdz9FSU5BpioiyWLQX5IlXEmoSLWwF9Xn4a233+bMS89l5OC9uPWy6wjpAaECtSxxLFItWtcUBryKR0XxeVi0bDFTrzmf/r37MuPB6RS30yCyBNc2sOIydlLBVQux7FIUj4qLS6KiCbMpIdYpiWOt+DSQJfQcP97SHKxIs0rUNi0efPgh/nbnjey71yj++dfr6NJFkCBFV9ELQz/Ex5qGhgZGjBjB+PHjufPOO1uRw+uuu47169czY8b21isAnTp14vHHH/9Nig++CdMUylHLtr5zmzStJJVSow8HHHgAhx5yKOeec25rIpjyfXNdl3PPP5fSklKmTZvWKqNUlmUqKiro2r0rjQ2NBAIBkATx+mZeqSRJKKnvn7///e+8O+tdXn755dYVQ6mZUMqK3JymkKryNUWayM3Npb6+/hdJSH4qLF26lMGDB2MYBoMGDeL111+ntLR0h8sahrHbqt2fCtmKWxa/S8Qq6snpWoavKEdUX1Jtwcw8mguNToI3Y8uYHBoqSFsLtaLIpRED6SIGx/mGRYdojUqaihrwIntUtslR/r72JfqF2tPFX4Ljuju17gDIVf2MaN+PYJs8PGE/WsCHvzifQJsC5FSlLdSxiNwubQi2LcSxLDEL5tNBljI5qvGaRrSgD0/QS7Ihup14AATHlCSJiZMO4b/PPsMr0x5g7z2GMv2Tl5l0xwU8vuRtoqUecru2QQvqeAI6OR2LyelYTLhDMf7CHGRNQfFqlHbvyF9uvZ6vFy7m73+9juffe5U9jxrDTQ/fSV1DHZKSaivK6VavRDAc5MlbH2DJqq+5/r5buPqMi9l78F6ceNnpNEQacQwrbUsqKgpJCyduYkbiGPUxkvVRRu+xFx+9NItILMrYPxzK3IXzcNPH1xatMcewcSUJ1xImv2Z9jN7tu/PGXc+QiMYZOW4fPn39ZYz6JoyGGI4RQdEjeANbkaUqkrVRYpvrhTdfKmgcWVRT1YCOtzCEGvRm/NnSUDSV06f8kQUvzyEvJ4dh+4/mrzdeTyQeRcvddVrBd0FOTg6vvPIKL730ElOmTGllMaKmopd2BNd1v7Xi9ltCWlCyqwpkq+XTZC3VylQ1URFbt34dn3zyCccdd5wgTemKWwsTXUmW6NO7D8uXL8/MrbWsl6QrbppHy0TFZfJwpeZty4qYqzOSBtOnT+fUqaduX1HL6BkkXNvNVN7Stibp8/9dqow/JdxkkuSn84k8+ThNDz1A5MnHSX46H/cbVjnfF2eddRaGYRAOh3n55Zd3StqAXxxpg2zFLYvfKaqXbqBpczWu47Bq5sdUfr6GeE0jtmFmjF1favqSbWYDZ+XtkyJtgmyomiYGix1X+Hi5rphtSokHZEXOKAlxQfV7WWvXcMfqVzi8ywiO6jEaSZaYX7uKOz/+H5Zjt/JwS+OY9iOZ1GkEnrCfZH0USVUIluWj5wWIVzeiBXzk92gLiMSHzXOX4FjCd85KmriOg+b3EijNI1Cciy9lmBvuWIKvoLnC4wn6aLt3c0C1nTTZOGcRRiSObVp8tmYJ/3vnZd7+eA4De/Xnj3/8I8ceeyyqkUorkEW1ScvxCVJlWKkcVkvkjToOs954m9sfvItVG9Zwx6U3sO+eI4WnWsgnjhNgJwzWbFjHQacfyw0XTOPwcQcy5Yo/0RRp4sm/3UsgFGgxnCgUe5IsoeoaSlDHjos0CFeTmfHsE1z/75s5ZJ8J/OWk88gJ5WTaVLKSatkiLrQuLrKqIHlVbn/0Du575kn+dfm5nDBpBIondWGXIF7nxbS6gySn0ipEVURSZLSwF19pTsZoVw17sRoT251Tx7RxDIsl61fw52uvYu36ddx4441Mnjz5B1X6lZeXc/jhh6PrOi+++CKFhYXEYjFc1xVVnW8gfRH7/PPPW9ta/EZhW4LEJOLbn6MdQVEUEVklK62yRP/2t7+xaPEinn3mWUG4NFUkG9gOlt0sGHhv9ntcfMnFfLnwy9brVRW2bdtG125dicfiqJqaaYm2nEdrScBmzZrFH//4R5avWI6cljunr+Ip8pjeP1VVM3N3ju3Q1NhEaZtSKioqKCgoaLWdnxOu45B45y2S8z4Sf+Mtk1E0YaWjj9gb74QDms2s/5/44osvGDx4MAB//vOfuemmm77X+n4OZCtuWfwuofp04tUN1K7YTKy8DqMpJr4QUl9iETvB3PhqJob6gqoiaeKLWwt68eQH8eT40UJePAEfqteL4tfRc4JoAS+KrqH5dVSfjifkY1FiE7eunMmUvvtzyn5HEijLJ1iWz9BQF24ZeApdg6Wo0vZVsDbt2+EvyUPz64Q7FhNuX4QW8OIryEEPB/DlB4lVN2DGklR+tQYzmhARWKm7aUkWGZnCiFZBzxGVHTPWfLGSJIn8Xu1abVfRNUJtC/AEffjyQuwzZAT/vvKffPzkG0zcZxz/euBuOvXuxuU3/5W1NZvxluXgyQtgNSWJVzRg1EZJ1kTErBniQrL/wRN59ekXuOLsizntuou47rE7sLxyhrSBsMfo1q07//rrjVx1x3VU11Xz0HX/wpXguGlnUF5TKRZMeVyREgW4rpshzCJvFM448VTmPvkalTVVjDv/GF794C1cw8K17MxAuixJyJ5U61uSkGyXi489hQf/8hcuvfU+LvjbQ9TWitBXJ2GC2UQ6siLTKkvNpikeNXNBkTUFLejd4dyarCloYR8jJoxm7kcfcscddzBt2jRGjBjBwoULv9uHeBcoKytjzpw5lJSUsNdee7F8+XL8fv8OSRuIqsKBBx7I888//4Ptwy8ZcmqMYHdIS1qhqaoqsiKLf6tiNu3J/zzJKaecgkf34NE9gjSlntdSmbdIIiVk3bp1xOIxsVKp+TPktKi6u44gWOm4rbRVSdr813Vdpk+fzsknn4xH9Qgi2YK0SemKdGruLZ3EYJuC+KVbp02NTZiGiWmYP/scnOs4RP/zuCBtltWatIH4t2WRnPcR0f88Lrob3wNPP/105vcTTjgh83tTUxOrVq1i27ZtP/sx+TZkiVsWv0sYjTGaNlVjxUSslWMLo1wcB0mC9+Or6KwV0jVQSqAwB29uCH9JHoGiXPxFORT0bEewrAA1oOMJ6oTaFhBok4cn6MVflIMW8OIJeXknvpz717/DOb0PZnyHwTSuq8CKJXFsh2R9lKChcGX3SRzXfm+UFi0WgLzCPIoHdaVkcHcK+3bEmy+G5BWvhhbQMWNJQT4UGU/ABxKYiWSryo3q92AnTbwFIXI7lxJqV4g3x4/q8xAszaNseC98Bdsb5hb06UCwTUHLAhelbcv4y03XsXTpUl5//XVisRh7jRjOEUccwcdz5mJGEq3nclK/azk+0UYsCnPulRezYN58PlvyBeNPOpRIXaOI0pJlkXagyBy07/6MH7kvl9x8Nf5AgGdvf5QeHbtxwJ+O4ZNFn4k5NcfJzPBJqRaW7NOQFUkoPnEpzSnkkav+xdVTLuTq6bdwxm2Xs62mAmxh0+KmqoNp9a/ruDiWzNjBI3j73ntYs2kbfQ88l3898gqxeAJcGyRFKIVT5r7p7af75JIs4cnzI0kSnvzgduRNkiX0/EBmVuq4445j+fLlTJw4kVGjRnHZZZcRi8X+/x/sFvD7/Tz77LMcd9xxjBgxgnfffXeXy//hD3/IGLT+1tFyXmxXUBRBwBRVyVSnZFlUmd9//31isRiHHnpoq7+5lsspinhdaUkpeXl5ol2amo1LL5MmCa32xU19J7WYdXNdl7Vr1/L6G68z5Q9TMoQv3VJNiyIy3QDHzbSC02IMTdPICeeIWLYUKTQSRiui+FMj8c5bWGtWC9K2K1gW1prVJN5563ttb968eYBQ8e6xxx689NJLDB8+nHA4TI8ePSgrK6OoqIipU6eydu3a77WtHwvZVmkWvzuY0QSbP1xKsiFK+acrqFqynsjmapKNMVzTxtAcrtr8AmeXjKNPXgdC7QpRg17yerTDiog4pzSsWAKjMYbjOHiCPlS/D0lyqd1cxQNLX2Np7XouH3o8/br2wo4lkL06ZjxBsi6KJEuYjTGspImkKtSocW5b+hIV0Tosx+afx1zAmEEjyO/ZDtd2SNRHUP06ed3aEK2oo/qrdUiqkorpqiRW04gVS6D5dWQllRigyOg5AXocNSqTydpuVN9W+ay7gpUwMJriKLqGHt5+Fqu8vJzbb7+d++69j+FDh/Hn8y5h1PCRrZZRvBqyruIkTKy4gWPYmIbBu++9y7jh+wqhQUoBp+gajmVTW1nNPpMP4upz/8zk407EaEow4+nH+Nv9t3Dl6Rfyx8NOFCQ3RZRkRRHrSAW8u7KEUdGAnYoWq66t4brptzPrsw945/b/UlZahurVsG2ROSprKuDiJA0kIiiag6w6vP/FAq57+EEaI1GuOPV0jjzwD6mqhivECJIQO6ghL76SHLEvLWYIXccRvoC2LXzbfJ6dKkiXLl3K6aefTkVFBQ888ADjx4/frXO0O3jkkUc499xzuemmmzjnnHN+Ee2xXwISsQSmZe7QfFeSJbxe73bqX0VRSCQSDB48mClTpnDFFVds99p0gHymxWk7HHDgARx/3PGcMuWUDNFCgs1bNrPnnntSXVW9/XlJRWMBJJNJxk8Yz8CBA7nt1tta5ahm7EV2sB9pcpi2MBk0eBB33H4H+43br9V7ShPO3SG0PxTcZJKGf17/7aStJVSVnCuvRtL1b192B8jPz6euro4+ffpw6KGH7rJVGgwG+e9//8vBBx/8/9rWj4Usccvid4eG9RXUrtiMGU2wcfZXVC1aR6KmETNp4CQs3ogsYVmynGl9j8WXHyS3Wxu0oA9sFz0/iBVPYscNwh2LCZTm07ixEi3kI1HTBED5tq1c+dS/kBWFq0ZPpqxNG2RFJlEvMjcTtZFMhqkkS1hxA9d20QIefB0KeWD+TF5f/jEHD96Xv025iPyeopWp+XXKhvVE0TUqFq6mYUMlNUvW07Slmnh1ozCrjSSwEgbBNvkkG6IoukaHffsT7lwGQH7PduR0KvlBj6frumxasoZ7p9/PfTMepH+ffvz5/EvYb/RY0baJJcXAvuti1sVwTEtkdPo9olVk2hj1MRRdqDxlTRCfJ1/4L/c/NYOPZs5Cz/FjJS3mf7aAE876AxdPOZuph58oWpKagmvb2HETxacjazIuENtYI1qnioRjubi2zdK1K+jTuQeyLKKu0ua+sirUoq4lDJRlYsJHy2thmS7Pz57DzY8/Qn5OPleffgmjBu0lRBaKDK6EFvai6CqyV8PXJg/Vq/2/jqXjONx3331ceeWVHHnkkdx222279Fb7Lvjggw846aST6N+/PzNmzNjlQPbvBY7tkEwmRYJCi3Kxqqp4feLmJj16kFZrAlx66aXMnTuXjz76CFXdtY+9YRgYSYO//vWvVFRUcN+992Xm5dJh9RKCMH0TaaNegOuuv47nnnuOD+d+iO7RxX5Jzcukq3hpIpcmjxnfuRQm7D+BAQMGMHv2bB588EFGDB8h5vZS21dkZYf78mMg+el84m+8un17dFfQNHwHHoI+bK/vvD3XdVFVFcdx8Hq9JBIJ/H4/119/PccffzyFhYWsXbuWu+++m3vuuQcQlesFCxbQp0+fb1n7T4dsqzSL3x0kScKMJtg6fzmN67dlDHKFka3K4sQWxhT0QfN7CLYrIrdrGWVDehDqUIQe9JHToYS2o/qR16MdnrCfdqP70/WgYbQb1ZdyNcKf/vNPenTrzn9uvI9ug/oSKMnDE/QhSTJ23EDzeQiU5AlTWr8XLejFVxBEC/rxyAqXHXIqJ0ycxPKqDZQM7S5as73a02ZEbxEKD8IyIClMgv0leQTbFqL5dHxFOfhL8sjr3pYeR46i+6SRlA3vTbhjMW1H9v7BSVv6eBYVFnLNZX9h+fzFTBizH1PPPYOTzphCU219RqjrGHbGmNd1XBwj1cYxLWGSa7u4hpVp70yaeBiby7ewaP1yfG3yCHUuYuxhE3j+2ee44YHb+GjtlygBXRA9F5SAjqRIyF5NVL1SdiyZESIJ+nTuIX5XZRTdg+xRhbWKlBKWeDRAxTKD2KYfMx7GtfI5avwJvD/jNQ4bfQCn/e1Cjv/z6Xy6YAFGTVREnjUmMBvimI0JYhuqv5Opa0vIssw555zD0qVLqampoXfv3jz77LPf4+w0Y/To0SxatIjc3Fz69evHiy+++IOs99cMWZHx+rzoPh2P7kHXdXx+H16fN1PFUhQlI04AmDt3Lvfddx+PPfbYt5I2xxGxWhIS+4zahw8//BBorsiJf9CKaKVFCC5uZgZ03rx53H777cyYPgOv7m2usqVUqukKmZMSS7Vse7YkpHPmzOHrZV/z6GOPsmHjBtavW98cw5Wa/zSNb4/O+qFgrlzx3UgbgGlirlrx/9peNBrNHPdEIoEkSbz00ktcfPHFtGnTBo/HQ69evbj77rv561//CkAsFuOqq676f23vx0KWuGXxu4OvKIfG9RUYDTFcFzSvLhRhHhVJUYhhUhDOI697O/K6lqF6Peg5AfqdOoH2+/Yn3LEI1SeqRcE2BZQM6kqoXSGrrCqmXH8Rl1x+GY8+/hi5ZYWpFlyzp5rruqg+D4rXQ7hdEf6SPMIdSijo14myYT1pN7ofPY8dzX2PPoStwLsrF1AyuBvhjsWtWnCyprLts1U0bakhsqUGK54UeZoS6Dl+ZEUmt3sbuh06guKBXSno1R5P6Ieznfgm0nFUOeEwl513MV988CnVtTUcPPlIqhtTQfDpC0k6XSLtn5XyVxO/ugw+eBSTzjiRzdu2cMQBh/DsS80D84quMXq/MTz44IOceuGZVEVqUIPejL9eOkEi/SMpcmrmx87Ej0kpI2LZqyFrKp4cP56CYKr1iVgOcF0Z11ZxDBc7kkCz4KzDJvPRQy/Tt0sPjr/mLKb+4yIWfb0EO2mSbIgR31ZPorKJ6MYaYfzrOFiRpEh8SOz+IHj79u15+eWXueuuuzj77LM56aSTqKur+97nKS8vj6eeeoq77rqLqVOnMnXqVJqamr73en/NkFJJF7ouyJuqqjttFUajUU499VRuuOEGevXq9a3rTs+OOY7DkCFD2LxlMxs2bhDkLHVHkU5KSJM22xGpB7bdnKN6yqmncM011zBwwMBWRAxSEXIurapuLd8bwKLFizjo4IM45rhjiEajWJaFruvEE3HRznWbt23ZlhAupPKaf0wC58bjP+nrfD5fq38fcsghTJgwYYfL/uUvf6GkRNzovvrqqzQ2Nu5wuZ8DWeKWxe8OdsJAzwuK6CJAUmU8YV8mnzNuJ8kNhQm1LwRJQs8JUNC3A3rIT9GALrTfdw/ajOhN+zF7UNS/E7KqMHPmTA455BD+/e9/c9lll5HXrQ3hDkUEUhYcsqai5/jFwL8iLAVCHYoIlOSi+XX8hTn4CsN0PmAoZUN7kFNSwA033MC0adO2+8KIbK1l89wlNG6oJLK1mkRdROSqmjb+4lzKhvUkr1d7Sof0QPX9NB5EasgriE8KBXn5vPLUC3Tv2p2xRx7I8lUrkFVZVNssJ1N1c1OVNkhfeKCiuoq5Cz5mn6P355MvFuDIrS8cZlOCI8cdzOA9BvHCa6/w5eIv2VyzDU+uP5NIIGsKvjLhLSe5AJLwqkv58EmqglkfzbSqFI+C7PM050/KcqpqhxBDpKqBrgN54Vwun3weH/z7BTqUtOWIP5/CaX+9gGWrV+KaDlbcwGyME99SR3xLPUZDjGRtlMi6KhqXlRPbWofZGG9VlUsfi5ZIixcWL15MXV0de+yxB++9994Pcr5OOOEEFi1axIYNGxgwYADz58//Qdb7W8fll19O27ZtueCCC7512fSMW/rchkIhBg4YyEcffSSeT1W5tLShdItKWVodapommkfj0Ucf5fzzzhcZxXLKLiSlWAUyJDATuZXCxo0bOeXUUxi33zg+mf8JZovqluM4GTFKZtuO2/xZdJtFDT8WpG8QqR/7dYqi4PU2z/fuanZN07TMnKlt23z++ef/r23+GMgStyx+d7ANi2CbAuFnVpQjBvhzg/jyQvgKw0StJGXdOxEoziW3SyldDx1OqG1h5vXpQf10+sADDzzAiSeeyJNPCmsAEBfdgt4d6HnsPrTbpx/5PdrSfswehDsUoegq/qJcsZ6cAO326UfRgC50GDuAQFl+ZjsnnHACvXr14rzzzss81ripiq+ffJctc5eQbIiQqI3QsKac+jVbidc0YTTFUDQFX0EoY3nwU0CSJPT8IN6iEFrYh5bjI6dDMY9On8GEMftx7Y03YDYmhDGtK6ptdtJMERgn05ZybAfTNISVgW2zat0aHnr4YW644QZisRhmUyJDeg4/8BBeffM17nv0Ye56+N5M1S4NLeTD17EAOVV9k70akqYi+zQao02sXLtaKAS9Go5pi+Nlu5n2UyYjrAVc18GxXTBtinLzuebkC5lz53MUhvM45JLJnHPz5SxfvhyjMU58WwPJ+hh2XLxPx7SxTQujNopRFyVZ3SSWq2ggtqWO+JY6jPpYa0JnOxTl5DPzfy9w5RVXcNhhh3HJJZf8IOrP9u3b884773Deeef94u0Pfgl47bXXeOyxx3jkkUd2y3MvTX5aGu6OGjUqQ9zSyximkTnnaQPejLjcFVW7ESNGCAGBJCMjt1p/y9D7jFhBlnju+ecYOHggr732Wqby9839i8fjmVi+jICB1r//mGpTrUdP4dP2nV6koXXv+f/eZseOHTO/t2/ffpfLtny+srLy/73NHxpZ4pbF7w6esB9JgtwupeT1aEfJgC7kdikl3KEIKaRjuw7dRvSn4/hB9Dhq1A7VlCDuhs855xymTZvGG2+8waRJk7ZbRvV6aDeqL10OHkbpkB70PnEcQy87hrJhPcjpWExh/07ouUHCHYvJS5nppiHLMo899hivvvoqzzzzDFbcYMuHS9n0/iIaNlQSr40Qr6rHiMZJ1EVJ1kcxGmPUr6vAExJ+XfHqRrZ9tpKNs79iy0df07ih8ke9SMseFS0k5vZkVcYT8nHmKafx3geziSfiooUZ0JF1YQzqGDaKX0cN6CheDcsjtXYUSbWK/v73v9OxY0cenfFI5gK03+ixfPTpPE494WT++/JzNNZuH67uCXrxloTxlYbRC4KoQZEq8dbHsznsosnM/XwejmmlPNlIzby1mI1LecW1IoUtMiEBSnOLuP7Uy3j3tv/i9/g48NKTOO2qc/ny8y+Il9cT3ViD2RDDbIxj1sdJ1kWJVzTSuGIbDUs3E11XTby8nkRNhPjWOuLl9ULIkSJ1ydooRm2MU444kXlzPuKD999n2NBhLFq06PufL1nmoosuYvjw4d97Xb9lPP/88xx77LE89NBDdOnSZfde1CJMPt2y3Hvvvfno428Qt4SBZVrbRVyl15GZP7NFG9P5xucvQ7JSJDH9mp49e1JcXLxTkmnbdquKm4ubIYyu4263nR8DngEDm9NqdheuK173/0S/fv0yv39bckbL579tnvGnRJa4ZfG7g+bXCZTkoQV9hNoWoPp1/CV55HQpI6e/uMPaY/IE8rq33WE8FEBtbS0TJ05k7ty5LFiw4FvzHVWvh2BZPoGSXHI7ldD9iJF0O3wEbYb3pv2Y/hT0ar/DuZo2bdrw8MMPc9ZZZ7FoznwqvliDEUmIyKZIAsdxReUqliRWVU/d6q1EtlSzcfaXbJ2/nPIFK4jXiAxWIxKnZvkmqhet+/4HcTche1QG7bUn+Xn5zF0g/JNUvwdfaS7ewhCeXL9Q05bl4ivNIcmOB5UTiQTV1dWcfen57H/UwbiuS11NLbk5uey15zA6d+zMi++8Iuw2FBlZldHCPryFIXHhVBRcS8yb2QmTI/c9iKunXswf/nIOz7z9ElbUQJJkFF1Ylyi6iqQgLmSKLAQQWjr2LCV8aGHVANCusIwbz7iS2f/6H/nBXA65aDKnXnMuny38DKM+htkQxzZMrKYERkMUM5LAqBeVOCdhYjUmsOImyeomElUiC9WOi1guoy5KvLyBMifEW/+ZySHjJzJixAhuveWWX2x80W8FDz30EFOmTOG///0vxx9//Hd6rSzLmWoWwPC9hmOaJg2NrW8y0qTsm3BcUaFu6e/YMrxe/EKGcLWccevfrz+fffoZRx55ZHNm6Te22apy26Lq5jiOiMxy7B228X8oSLqOPmJv2F1SpKroI/b+f1uBAIwdOzbz++rVq3e5bMvn27Ztu4slf1pk7UCy+F3CdRxqlm0Sg/0Jg0R9BG9OgOIh3Snq0palS5fSrVu3Hb5248aNjB8/nt69e/Pkk08SCv0wAeG7wh//+Ec2LF7J5UOOpW7VVqLldZixRPMXre0gA1rIT6hdAapPF2SxTT6F/ToTKM1rRULL9uqZCYr/sWEnTD79YB6d2rQn4A+gpBIOzMY4jmWL6KugF1lXWbtiNQMmDN/hhUJVVRRZ4Y7rb+L4AyYx8+3XuPPR+3nv6Ve57+npfLhwPq+/9cZ2r2taU4nRECOxrQE77cGXWv8nq77ijH9cwilHnMDfrv4rsqwQL6/HTghvL9e0RSKCAopHw06a4oJmmmCLqLN0qwlovohKMpUNNTz48hP85+0XGNZ7IOcdcxrD+gwUF2JNSaU/CDNfWZZwXBG9JSsySkhHzwtiRRK4Lri2mA1EklA8Kt6yHD5duIA/nn8Wnbt24bHHHqNdu3bbvfcs/v9wXZcbb7yRm266iVdeeYV99tnnO70+rSg1LZFQsMvKlQySK2Xm1zLVNNyMkW9avJCeYWuZpgA0f/YcmPfJPG677TZKSkooKyujsrKSJ558QowjtCD6Z//pbP7x93+03hepmSim90dV1UyCxA/t8ZZOTvhWE15VRe3ajcBJf/hesVfl5eW0b98e27YZOXJkq9Z1SzQ0NNCuXTsikQjBYJDa2todEuCfA7+c2l8WWfyEkGSZwr4dyevRFiuWRNE1VK8Y5G/fvj0bNmzYIXFbtWoV48eP56CDDuKee+75QfMld4UbbriBzp06cVz3MeSqaqvYF9dxwbJxFRlch3hNBEWLI3tU8Zwkk6yPkNe9bcZOJFZZ/5MRN0mW6NO+m5jxiiSxAcewsOMmyMILzYomIWbQWFePqqiYVuvKm1fX6dO7D9P/eRdlej6JmiY+X7iQjiVtMeqjFAXyqamu3uH2/W3ziG2tazZZdcSlT5IlRvQZzMzbH+eUa89nU+02HvzXvfja5ZGsbMKKJnEUCVlVUf0ecFzUoI7VlEDRVayEgWs64lzYLdpKDiA7FAfzmHbi+fzp0JOZ8fp/OeWG8+nVoTunHXYi+++1L4okCx2gY2EjA67IydUUzEoDqymB6tOxTQsndaxkj0hucE2bvfYcxsevzebPN0xjjz324P777+fYY4/9kc7i7wuO43DppZfy1FNPMWfOHAYOHPid15GORFNkBUv6FnsNR5A01xbigMzMZwvBADRX4BzxgkxWaVpRml4umUgy691ZgBjI92g7Fil9/fXX39hpMgrVNAl0cDLK0535zX0fSLJM4KQ//GRZpWVlZUydOpWHHnqIjz/+mPvvv5+zzjqr1TKu63LuuecSiUQAOOOMM34xpA2yFbcsstgO48aNY/LkyUydOrXV40uWLGH8+PGcfPLJ3HzzzT+5+/zJk46jeu0WTu84nsYNFTiGhZU0MeNJQRxkOdMm1HMCKF4P3twguZ2KCXcuw5cXJNxZmK7mdC4hv8dPU6FJVDVh1EZFtBVi4N6KGbiGJUQDKSNe17L59PPPOOLcySSNJNAcmH31RVdwzh/OwI4mMetjVFdWM+rMQ5kx7V+MGDCUj1d8zlV3/p2li5fgCbVWnLm2Q83CDRj1UexYUsSNptSiSBKyqtCkJjn1qnNxXIdnZvyHorwCoXy1HZSAB0VThWWD5ZCsaSJZE8VNWhjxJJjNhDB11dthdaUh2sQzs1/mkTefQVM1ph58PMeMPZSA1y/qG7KUmadzXVfEd2kqsizUuAAoErJHxVsUQlLE45Ii8+r7b3PBtEs49JBDueueuwmHt48xy2L38dBDD/HPf/6Td955h65du/6/15OJlUoa/y9rjfR3TKvvmrSS1HEyogRIkS23+bnefXtTUVGxy/XvOXhP3p218yi0tFVJWgChaioe3fOjffe5ySTGV19irlqBG48j+Xxo3XviGTDwe7VHv4mqqiqGDRvG+vXrkSSJU045heOPP56ioiLWrFnDPffcw5w5cwDo3r07CxYsICcn5wfb/vdFlrhlkcU3cOqpp9KhQwf+9re/ZR5zHIfBgwdz1FFHMW3atJ8lMuirDxcwbNwoHjrmSpR1DRiROPGGKG7CFKRBErfLkiKj+Dwoqoon6KWgbycKerdHkmWKB3YBSfrRW6WOZQtT2sY4yZqm1Ny0IEqOZeGajqhGtIiAckyb92a/xwlXnIFt2+genY7t2vPIzffRs0s3JFnBaoqTrI9x4yN3smTNcp685m4kXWXJxhWc/JezWf/VCvxt81rdldtJk4YlWzAjCayYkSJYLaDI+EpzcIMqZ150Dp99uZBn7n6UHp27oXgU/B0LM7YqdtIksr6axLZGYcESt3DSs0np1bo0D1zv4NvVtCzeWDCbh197inXlmzhx/CROOehY2hSVIilCnCGrimjTKjKyruGmiJvrukiakrE8wXVRvBpq0MuWinLOu/ZSNpRv5oknnmDvvff+YU7m7xCmaVJXV0dxcfH3Xlc6c9SyLKHu3EG81k7xjTlKSU7lnKb+ZtJGvI7jtJqlA7j9jtu5+Zabd6hA9ng8mfSALZu27JpQpuK5XETqgMfjaWVI/GvFqlWrOPzww1m2bNlOlxk4cCAvvfRSKyXqLwFZcUIWWXwDRxxxBIMHD271mCzLzJkzh6uvvvpny3kcMGooB+93AO/ULaF4YFc8IT9yZkA50+MQvMG0hXWF42BG4zgpM09cl2Bp3o9M2hySVaLVaNRFsWImZl2cZFUjRl0EO2og6wpqQEcL6XhyfCheDce2qaiuwrZtJEninJNPY+6zb9GzUzccwwLJxY4bVNVW8ejrz3DpCWfhuA520qRqWwVej47ZGMdoaqGUc1NENqDjOg6yKoPyDduQgI5eGMQfCvDgDXdy1MTDmPiHSXz05acoAS9GXRTbEOQsvrUeJ2mheFWRtOEXJr7p6p2kKKS6njudadJUlcNGTGDmDTOY/udbWVe+kX3PPZJzbruKT5d+KWbgVAUUWcy3OQ6kB8YtG8e0cAwTO5bETlo4loNjWLQtKeO5e57gzFNOY//99+eqq67CMIwf7Tz/lqFp2g9C2oCM35qiKHg8HtRUFbX1Qjt58Tc+Q+nPtJ35e6a191oLTD5pcivftsymJImuXbqybNkyJCTe/+D9Xb+BlJ8brhA0OI6TIaG/5rpP9+7d+eKLL7j77rsZPXo0xcXFmfN+wAEHMGPGDBYsWPCLI22QrbhlkcWvCl9++SUjR45kzowXWf3ALJrWVYiBeccRs1VpSBKKTyPcoZiC3h3wFoTI69qGTvsPJtS+6Ecln0Z9DCuaFMStIUayJto8A6ak25MyWo4fT9iHa9qYTSJjdeo1F/DWR+/yyr1PM7T/IBSfp4XHlUS8qolTpp2LT9P590U3iOqZC9c+ehumbXHTRX9Fzw3gyQ9kslAVn4adtIisqxatUshUxCRVwd82DzWgI3sUEUpvOzz+v6e59Jor+Nc/b+Wko49H1hVkVaVp5TZcWUqZ8brguFhxE9swcR0XxaMKV/y4kdm3nSLdrgXWV2zmyXde4Nl3X6ZtURlTDj6Ww0dPJOD1IacH0w1LzJ/rqshXlWUkRUH2KKh+D0pAB9tB1lTWNW7l1LNPR5JlnnzySfr27fvjnOwsdgtpM96Mqa3tiDnOFiKE72y7ITXPuLUUHLTMKz3+hON58603WxEsVVWZ/e5s9txzT2697VZefPFF3p31LoqifCsRk2UZTdfEZw9JCGmUnybXNItmZCtuWWTxK8LAgQMZPXo0jz7/tBhYJ/V9/83ui+uKqpvjEu5QlLEgCXco/tErhulZNjtpijzSlq1JW5iDOoaN0RgjWRMhWRvFsWwqq6v44LOPeOne/zBsz6FIqgySJEiYroIq8/SbL7Jo9ddcd9plKWIkfuZ88TFjBo3ENiySNU0kyhuwIoKk2XETHAd/mxy0oI6sqcgeFcXvwVeWk/GQc62UEbCqMOWEyTwz40kuu+YKbrjln8S3NZKsj2KnrTuiSRzLBllC9WuoXg1FU5A1RXCxtF3Irg51uiqnyHRq045pUy5k/kOvM+XAY3js1WfYa+qBXD/jDtZu2SBWpcggK7iOg2ulRBGOg5O0sGImVkTYidhJk56dujP7xbcYv+84hg0bxh133JG1DfkZkVZmykpqTszraW45pjJHv/PfZao16rhOq1k0SW72jjvrrLNaDdXrus7kkyYzaPAgkOCcs8+hsqqSF198sZXf3E43mVKw27aNi5v9TP1MyBK3LLL4leHUYyfzynst7qJ3FGieMpN1HYd4TSPFA7vhK/xpBtbTVgKOJQiGrDYr3xzHwU5a2AkTO5LEaIxjNsawmhLc9vi97Dt0b/bqtyeyqqB4PciqjOJR0XL9rK/Ywl/vu5E7LrqO/Ly8VIg8rN6ynq3VFezdZ0/cpIVt2BgR0Zq1DZO58z7i/CsuQcv1E+xWgq8sB19ZLv72BWghnzAKzvVvN7Mzbp8xvPPCGzz5v6eZeumfiMaj4LoZqxA7amAnDHARxsIhr6goKrKYsUuTt13BFTFfUqpyEvD5OGniUbxx+1NMv/xWyqsqGH/O0Uy9/kI+W/EVLg5YYmLQtR1sw8KxLBzTwk5YogqTUg7rus7fLpvGay+KzNMJEyawcePGH/JUZ/Ed0DKwXlEUNI+GoioZovXNZVuGx+8MmXZpi/+6rpuZQRszdgz5+c1pLLqu8/d//D1TlfP6vFx33XVcctklLF++/Fs/r2ni1rJ9mm3a/fTIErcssviVoXtRe7bUVpK0zYyJ/3aQZbSQD09AtNoK+/10cxrpzFJJlsQ8liUic1zLEVYchpX6whezeI7rsnzdKp556yWunHohjmWLmTZSYfAeFa0oyFlXnM9JRx7P2BGjkTVNEEJJ4pE3n2HisLH4dV+m0ugYNnbSwqyPI0kSb733Dm7SxlsYIti5CF9pDlrQi+r3oIZ9orXsF6q1lt5Yvbt2593/vEJtYz1jDj2AVZvWpg6vLObOTIfFXy/BchwC7fIJlOWh5wdRAx5krwbat7SRpJSdCxJySpggLsIOQ/sM4u6LbuCDu1+ka5tOnPK38znyiqm8OX+2sIVwEO/XFgkUuK6wtfG1ti0YPnAoX331FZ07d2aPPfbgySefzF5sfwGQZRnNo6FpGrIiskcVVUFV1cxP2rNNlmWxzA4I3q5In6IonP2nszPq7Ntvv538vPzMc6qmctxxx3HG6Wdw1NFHUV5e/q377bgOjutkRhh+rpnf3zOyxC2LLH5lyNMC5HgDbEnWoXjVVHWnxQIygpR4dSRZwleSixbw7nR9PzTUoC7UkY4jSJhl4RiWGKy3075UDq4hhuwxHW587C5O2H8SXcra4yRNUdUybbTcAHphkJtuvolILMptd9+Br20uelEQ2aNSUV/Jc3Ne55xJU5o91DLkzcQxLTqWtmNL+dZmixFNEVYaSRMrZmDURklsa8CxBWE06qIiT7Q+hp2wKC4p5pWnX+CgsROYePoxvDpvViaMPhaLccA5x3L4uSfRkIgQ6FJEoGMBnoIgasgrlJ87+5aVmvdXEhZ8KRJmCcsSWxDd0rxCrjjxbD6++2UOHDqGvz58C+PPP4anZ71EwkiSJn2ypqL4RCZrS7iOCDh/+OGHefzxx7n44os57rjjqKmp+dE+A1l8O9LkyaN78Pl9eH1eNE1D82iomiBuiqJk8ktlSW6dP5yOp2oxHJdepyzLmd9PnXoqjuOQl5fHSSec1Iq0S0jIyFw97Wr2Gb0Pxxx7DE1NTbve8VSkFvCT5iFn0YzsUc8ii18ZfEU5dM5vw2arFk/Ij+LVxJC7LNp0WtCHNzeE5tPJ6VJCUd9OP+n+SXKzhYUkSaLK5jhCD5AWKaSUdq7tsmbLet5f+DFnH/oHzKiBaztIipSx4KirqeWmm25i+vTpBHPDBDsXiRanR+HBV55m34HD6dlue68tx7Qxo0kK9BC6R2fjti2ASHL4Zpi74zjEt9Tjui5q0Iuiq8iq8MSTPOICevV5l3PfDXdw6c1Xc93023B0haUVa1BVjUUrljB07Ei+XrEMvSiEnutH83lQPCqSru34mzadLSlJZJhbSkGK6wpS1+In5A9w+iEn8cGdL3D2EVOY8fp/GXX2ETz8+lMkHRPFq6D6dexoEqMuJkQicQOpRdXvsMMOY8mSJSSTSfr378+bb775Q5zyLL4HJEmkE2iahkf3ZMiaqqp4vV4x/J+al2yZfSrsdXa9XgmJkuISwuEwF1100XbPA0iKWN/d/76bwsJCppwyZYdq1DTSbdl0yzeLnx5Z4pZFFr8y5PVoS/fSDmy2GtB8HvScAFrQh6ypqF4PnqBfxCIVhMjr1pbSod1/8n1MVjTimA5q0Iua40NSW/g+uU6ratPjr/+PicPGUpybL1IBUmpN2SuCXR5+4CEGDhyYCUJXdA0t6KXRTfDUOy9w7qRTW2885aPmWA5OzMRJWHRq14HVy1diJ8QQf6vFXRc7ZuBYNnbMANsRNQxJpDqQGsCWJIkD9xnP2w+/wAcLP+HYS6fyxkfvAi6GaVJZVcnQoUOZOXMmvrJc5JS/mhb2ogT1lKKWlJo0tXFJQpJlXMvGtdL9Y3apMPSoGkePPpi373yGm86ZxvPvvcY+fzyUJ2b+j3hdBDtpCaJsO9hxYXTcsspSXFzMSy+9xA033MCxxx7L2WefTTQa/c7nOIsfHpLU3C5VVNHK1Dxapoomy7KYi/sGgUv/niZSmcpbqiKm6zpj9h2Tqc6lLUqgeSZV1VSefOJJqqqrOP/C83fZTm81W5fFT44sccsii18Z9JCfoaNGsDFWTahDEYHSPEJtCgi1LcRXnIOe4yNQmk+n/QfT64Qx+Ityf9L9cx0Xoyme+beiqSiaBoqcsr+QBGmTJKLxGM/NeZUpE48BxDybJHwOsKMGlmVx34P3c/755zev3xbE75WP3mFAr/4M6j8AVFl8m0ktfhzEjJ1p0bN7DxYtXSw82dJmto6L2RRPhbo3Eq9oILKumsbVFUQ21BAvryNR04SdtEQFzivEHp3bdeTN6c/Rq0cvHnr6UZIprzTHcUgmkxx33HH87R83oIV96HkBVJ8HRfcgezQkPRVQ3/xucC1LvKc0adtdmA77Dd6b125+giunnM+dj97L3keO5+V3Xsc2LSRJtMxdRxDTlpAkialTp/Lll1+yePFiHn/88e+w4Sx+SqTn3RRVyZC5zO8tMkRbPZZSq6qqiiRL1NTUUFRcJNqtKQKYySOVpExkVk44h+f+9xxz587lr9f+dafETFZkMeuWVZX+LMj6uGWRxa8Qn839hH0njGPOTU8SL6/HShrIiori1Sge3JU2I/oQLM37WQaHHcOifvFmrFSgu2vZWJFEJkLKdR1ABsflibf+x7NzXuXlfz4qUgI8KrIkoYZEpe7tj9/jshumsXLxMrzhALKm4NoO8W0NHHPKiQztM5AzDz4JyxCVtVSQY8YjTfaoeHJ8PP7a/3jl/bd47cnnkTUF27AxG+MidN5xMBriqQF/pwWxEtmgSlDH3zYPvTBIsiaKHUkipWKpOozoTTQe2+4Y6LrOuH3G8Og9D+FTdWF7UhPBiZs46SBth+2JWmtO9+1QZWRdRVYVDNvimXde5I4n76dtcRl/OetSxo0Zgyc/iOr3oBfs2HTZtgWRzba9frlIC2ZaXq4dWxCn9OPpubb033zaY62mpobCwkIikQg+nw/bsluvGxfTMFtta+WKlRx+xOGMHz+e2269rdVnQ1VTBsKS+F3z/HIyPH8vyBK3LLL4FcKyLN6c+SoDyrpjNSXAdfHmhSjo1xHPTyhE2BEcy6ZpdSVGbQTbsLCiCbBTA82OI+7tVRnHtJhw0fH86YiTOXrsoaJtSEo84FHBdTnuyjMYM2o0f77gEmRdxRP2oYV9NJXX0qZ7R97838v0CLfDaIgLaw7cFPeSQAFF9yApMusrNjH2j4ezdu4SfF4vTtIUXmgu2AkDK5LEMVsQKki1MQFVRg3oeMJ+FK8H13FQ/Bpr1q1l2EH7Yjv2Do+DLMkU5Ofz8lPP06dzT2JbajGa4kh2Kkze2kW1QpHA3o2vZlUW3nF+jzD9RSJmJXj0lf9y7/8eYXj/Pbnh4mn0HzMMb1Fo909iFr8KZHJKWxA7CTEzlx5NWL58OYMHDyYWEzcYaQPg9GslWRIpCN+Y+dy0aRNHTDqCHj16MP2h6Xi9XiRFQpGUzA2Gooo0iCx+WmRbpVlk8SuEqqocctQRtB/Zl04TBtHpgD0p26vnz07aQORsajk+JFnGjpu4piOqTGlhgiRmuT5esoDaxjoOHXNgKn8T0fLUFOykycYtm5i/+DMmH36cSGJI+b7ZCZOFyxfh9/kY0G8PvG1yUXO9mcqTrCmgSKI9K4vw+s7tOlJSUMy8zz4RrSHHTc2CCQVqpk1pp4UBriCZpoNr2NgxYWzrug6OYWLUxpj36Xz0XQRfO65DVU01Iw7Yl3FHH8jV//4Hr33wDlurtgnStiuD3t0hbWIjuLaDkzBxbRfXtPChcc6kU/jggZcoCOcx+uRDuPrqqzMX7ix+O0hX2NJ2H+nWaUtPwqqqKoqKijL/lmVhApz5UVU0TWtVnZdlmQ4dOvDO2+9Qsa2Co485mkg0giI3kzZJljLJDVn8tFB/7h3IIossvh+kb+Ye/gKg6BqyLjI8hddcSvWKK/JVJYkn3n6Bkw48Gp/XJwQBkiTC1VOtnC11lZQWlpCnBUSb1XVRdBUrZjB/wafsvc8oPGEfTtLCV5SDoqrYCVMM+qeqB44hBvUlV2KfPUcw59MP2XfPvbGihqhQSWCn1r1dRFUmNN7NJBTY0aRQx0ow78tPibVok6qqiqqoJI0kPTp1Y8LocYwZO4ay4lK+/nopH839kHtfeISv162iJK+Qfl16sUfnXvTr0ov+nXtRmJPPd0dqSNywhMVJ6lHHdsjz53DTuVcz+aCjuebhW3imZ09uu/12jj766Kz31u8I1dXVFBYWbvd4y8+Aoii4mivaqKnPtyRJlJWV8eZbb3LC8Scw8cCJzHxpJiUlJZm4rawdyM+DLHHLIossfnA4hoUW9pGsi+CqorTkuAh/MtelsamJ2Z99yF/OuVS0TW1HVMxkGSd15aisrqQ4r1DMoclC4Wl7VNSgQ0FBAY2NjXhy/AAoPg+KT8OojWKmWsfCC05Yizi2zZHjD+HUaedx6sTjaFNYguO6yEhCNWo6u5wpcx0yuaSKVwMXPlm4IBMW3qtTd/YbPpq99xzO0H4DCfoCgISW60MLeunbqQeH730ARk2ExtoGvlq1lCVrl7N43QpemPsG67Ztok1BCf0696J/l54M6NaXgd36EvYFm6tyO9q/lLKvtUoQUS1MXYD36NaH1+5/hlcWvsd5553Hfffdx5133kn//v2/93nO4pePuro68vLyvnW5tKghLThIz8zl5ubywosvcNppp7Hf+P144/U36Ny5c0bpmsVPjyxxyyKLLH54OC6yqgASkqqmyJFN2i501udz6dquE93adsK1RdVI9qRaPEkHN2myrbKSotwCUW2LJJFUEYKthX106tCRdevWYcWNVMqCaBnpBUEkScKKJnE1FzWYauloKvuOGs1Bo/bjijuv49Fr7wJJwjZaz/bsEC64to2VNEU8kSKheFT+Oe16PIrKwM698ZiysA5BqF7tpJiXc6otUBUwbeRUFTIYCjKi3xBG9Nkzs4nGWISl61ewZO1yFq1bzrNzXmVzVTk92nVhcPd+DOrRn8Hd+tGlrEPzxTLdanXFXJ8rSZkZwvTz6WQKJ25wwhHHcswfTuC6665j2LBhHHbYYVxzzTXZAPrfOBKJBH6/f7eWbWkp0vIxv9/PE088wdlnn80Rk47gww8/bBWllcVPiyxdziKLLH5wSKk5M1kWJrZOylTWdcQA9asfzeLQMRNFRUxGWGZ4VCRJxombuI5DVW0VheF87KSJnTSw4knsSBI7YVAWLGTjxo3EKkWYvBVJiGgt20HL8yN7NWSPIhIkfDqq34MkS1xzxmV8tXIpL773Oth2Kit0B0amEkIg0AJOipCZsSTIcNABExk3al/8Xr9IPDAtnJTVCE669Sph1seE8MFykL0eYXmiyiDLmW/gsD/IiD57cvqhJ3HXhTcw964XmH/fq1x0zOmEA0H+N/sVDrryDww6YyJTb76Eh179D0vWrhAiB9dFUmUUTUmZ9aa2bYsf17Qxm5JE1lWhxV1uu+02VqxYQUFBAUOGDOHYY49lyZIlP/ZHIoufCYlEAq/3+8++KorCvffeS48ePZg0aRKJROLbX5TFj4Isccsiiyx+cGghL5IkoYW8YrYtPXzlujREmvjgi3kcPGIcrm3jmg6SJiN7FKy4kbLjkKhurCM/nAu4uDaCjCgyyZoIeZIfx3FYv35dZpuyKqpeemEQvSCIv30+/nb56EUhZE00F/LCOfzzvGlc88BNVDfWi/nAVBtWBMRL4ltRlQW5UqVMVQvDBtvBiVtYcVNU+iTRFsZ1cE0b17Cw4ga2aQkVrQR2TAgr7HT+qixnyJuktNiGTLMViSxTnFvAxL3GcOWJ5/G/ax9gyYx3eeyKOxjZd08+WbaQ46//E4PPnMhZt13BY6/+lxVrV4luqtviRwIQ8WN2wiSytopEVRMdOnTg3nvvZeXKlRQVFTF06FCOOeYYFi9e/KN+LrL46ZFIJH4w5aeiKDz11FMkk0mmTJmS9XH7mZAlbllkkcUPDsWr4cn14ykIiPZnipTIqsK7X8ylR4cudCppL/JKTaE4dZK2IF+qgqQotC9pw8bKzSIOilRofcLEqI9DxGS/4fvyr3vuwo4Kc1nXFQpLK2qg6KLd46SG9rVcvzDDDXo5ZPyB7D1oGNc+fEvrsTFFtHaRJNEedVxhCaIqojqmSEL9qoAdM4lvqceoj6P4PMi6hqQogqzZIuJL8WqZqC8nJbiQJAnF5xHVyIAGHlUIOTya2IZ4J+JHTm1bE2TOo2oM7NaX0w4+kemX3caXD73NI5ffTv/OvXn70w84+NKT2etPh3DhPX/lf++/ytaaiub1OS6uJbJPY5trM1YQ7du355577mHVqlX/x955h0dVp234Pm1qMqmkAKF3QUCUptKVJupasHd31V1Xd62fFcXeVtaGBV0VRcWOYgNFFBUBQXqHUNL7ZNqZ074/TjKQTagSdeXcXrkMM6f8TiaZec9bnoecnBz69+/PkCFDeOihh1i1apWjjP8HoF7j7VDh8/n46KOPWLp0KTfffPMhO67D/uPouDk4ODQbekwjtK2MaEEVRsSW07h48rUc06MvV59xiR3MuWRkv9ueANUMO2zRDb5dsYgbH7+L75//KHG8xACDabK9opCRl/2J2S++Q+8ePTFV29pJSfIgyCJaKGZntgQBQRSQvIotvFsVprislOPPH8ejf7uTE/sPBSwEyRb3FUQBSxQQsWVDLNMW5RUVESyhzrlBQPbKiB4XrlQfoiIR3lGJoWq2BZEoICiivZ9HQRRtayssyx6yiGoJv1Y9rNZpyplYht1Ph2HaGTmXbAe26j4yGyLE4irLNqzi+1VLWLBqMSs2r6VtdisG9zya43r1Z3CfY8jIzkJJ9pDWOw/Z11jKpKioiA8//JBPPvmEL7/8kszMTMaNG8f48eMZMWLEfvdKOfx+uO+++1i/fv0hd8fYtGkTgwYN4o477mjgbOLQ/DgZNwcHh+bDsnAleZH9HlujTRBITUrhpEGjMOuCGMFVpw1lmhi6gaXpWAL06dCdwvJiistLEgGPKO/SkWqb1ZrLJ17I/z10J2pdH1lJaQmvvDGdaFkQrSZGvLwWLaSiheNES4IIgCc7QHZmFg9cezvX/vsOPv3xa3uAgvrpTAFJkevyXpatk6XY2Tg7iLPLssjSroEEQFJsDbn6sqtQ5ylpaQayz423VSruFgFcqT7cLZKQfG5be61O000UxAaDEpZu7XPaNYEJHtnNoB79uH7iFbw/eRrLXvicW8/7O7Ik86+Zz3PUJSdSXV2FGa8r4zZBbm4uV155JbNmzaKiooLnnnsORVG49tprOe644w7+98DhN6U5SpqdOnXi448/5r333jvkx3bYO07GzcHBodkwNYNIQRWhraUJpwJLNzA0A8HCDnDqRETrjdETb0gWjL3uXP562sWcPHS0rfFmUafNYWfDIvEYw648lVsu+jt/OmECf7ruIn5au5yPH3+NPt1suQtBEhEAV7ofJdmLIImoZbWYusEnX3/B3+//P67604VcfealCLJkC/cChhrH1E17eFMS61rGLBBEZI+C4JKQ3IqdLdQMTFWzBYfr3lJFt4yp6oiKhCvFhyszKaGdZeqG7ZFaWmtnGuvLmYBQNyWKadr+rhZ7d1nYHVsqr+G/AQSB6mgtmZmZKCke0vq0RUna/4Z1y7KoqqpyJgn/B3n66af57LPP+Oijj/a98UFgWZajC/gr42TcHBwcmg1RkTBjGoIo1VlI2SVDAbsEaWkGSHbQZuqmnXGyqJtGlTi6W29+XP0TFrY4qKUbmIbdy2YJFl6Xm9suupZ7//NvHnhxCqs2r0UUBO6d9i9byNewsOIGZl3vmxnXbZ03EYy4zsgjj+WdB6bx+hfvce3jd9iTcoKFqsU55aaL+fKnbxOTsFadm4HkVhAUEclle8NC3YeXLNml3Lq+NdnjQva77cybbGtimbqBFlGJFlYnSqWCLCKYdRk2UwBFrhtWEO2hjv0N2uqpH3QQ676v+1BNS05FVCRknzthML7fhxQEJ2j7HyUzM5Py8vJmO74TtP36OIGbg4NDsyK4ZCSPXFdurPdXtMum1GfbqIsvTAtE7EDONPjTsHG88/Vs8gt32h8QsrgriWQKCJbFhONOpFvbTkx952XUeBzTsliybgWLVi+j7oRgWBiqRrw6Yme6ykNoNRFMQ6dH2y588ODLbCvayVm3XUFxcTGrN65hxcY1XPHQTUx5exqmYdrZNtPOGAqiiOR3J6ZnhbpePdElIbll5IBtwSX5XEhuGdHvQquNotVE0aoiWLqJGdUSQw0W9gyGINiZN7Gu3Cq6bVmV/Y6z6rNt9R+mif/bP3ILyx6wUBxD+cOFvLw82+3A4Q+DE7g5ODg0K5JbRvK6UFJ8uNL8yH4XsldBlOqMsHeTr7CwsFTDFt3VTfp2PIKzRpzMzU9NxjQM0Mxd/VkigEBtJMzarRsanNMwDCZPe8w206YuEIxpaJE4WiiGGYljaSZoFqZhkJWcxht3Pk2brJZMuP4C3v3yY1yKgm7oTH3/ZS578DpC8SiWZW9vWXZvmlYbwxLtvjlXqg9vdiqerACyR0F0yShJHnxtMnAlexHdCkqK1w7KRAHLArHOBkyQ6gJZ07JLwQJ1peG6SEwSd2XR9kQiy1YXrNUHcaI9zSspds+dHlLrRIsdDgcGDx7MBx988Fsv43fBxRdfnLjR2t+vYcOG/dbLboQTuDk4ODQrSorXbtoX7SZ/0aXYgwqisMsM27L726hvzrcs25TetLjxnL+yo6SQGV+8b2ehJFvUF+zY5Lon7iQYrm1wTguLNfkb+Gbp97bwr24HfGYsnuglq/OLShi+e1we/v2Pe7h43NlM/+wdoqotMKpqcRYsX8S4f57LtpICMG05kHhFCK02hlYVIV4dQvLZpvaiS0ZO8qAke1CSPLhSfZhxHckl1w1XCLuts06k2G1Pv1qChYWAJdiTs5ZhIrjrBx7qRHuFhtdpYdk/TwsSTW6mVTfwUSd8DLsmXF0y0cLqvUp9aJrGt99+y6RJkxg8eDCLFy8+6NffweF/mW7duv3WS2iEM5zg4ODQrFiWhVpWS7w6Yhu1x3XiVWE7UBPtu1ojptmepHWitTZ1QYgg8M3yhfzt8dv48ul3yElrYfeHGSYzvnifO6c9TFzTmjx31zYdmTv1XVsnrs5lwKp3Ftjd6qouUyUoEljQ75ITKa+pbHAsSZRwKy6evflhRgwaau9jWoiSPenqSvOjBDy4Al4kv9vOcnkUTE0nVrorsNRDMWLlIftnoxtYpokgiuhh1Zb+QCAai7J1xzY2FeSzuTCf8poqakJBgpEQNaEgNeFagnVfL938L4478hg7cBOx++LqL62+zCoKyMm2i4RQp6fnb5OOJytgD15YFmvWrGHu3LnMmTOH+fPn4/V6GTVqFCeccAInn3wyGRkZv/A3wcHht6WgoICqqqp9bnf22WezevVqABYuXMiAAQOae2kHhBO4OTg4NDuWZWFE4+iROJZuECutRQvF7EyYqmHGDUxdx4zvZhm1WwAnSAL/99wDLNuwkjfuepb0QCqbC7Yy+p/noBl7Lvu5ZIWptzzC6P5DMUwDK56wcAB9t7c+AXBLSJJMeU0lfS8YucdjypLEjRdezVWnX4xInVSIKNj9bV4XkkfB3yYDV4qteWaZJtHimkQwZVkWamnQ7reLRtmYv4U1m9ezYecWNhdsY0P+ZrYV78StuOjcuj0dW7WlRVomKf4AgeRkUv0BUpICBPxJpPiSyEnPxiMru5wS6i9rt1IpsoDsddtiwYqE6JJxZ/jZUrSdmZ+8z4wZMygpKWHIkCGccMIJjBo1il69ejkm4g6HHRs3bqRLly4A9OjRIxHA/Z5wAjcHB4dfFT0aJ14ZxowbxIMR9Ihqi+eaFkZExaizlkpkkLB7v3Rd49qnJrG5cDsz7nqazYXbuPGpyewsLcS0LDwuN7phENfiDc7XIi2DZW/OA93EiMaxbEUPe0rUsHaZtcsSst/Nl0sXcOXd1yVKpXsiPZDKdedeSb8j+tCtXSfcLjdSnSeqKz0JT2YSrjrT+3hVmEh1iLUb17Ns+c8sWbSY5atWsHrLeiRRpFubTnRp05HObdrTqWU7OrVsR8v07DpdOexsILaRvORR7CqoUSefopv2zwv2rPkm2bZecpKHSjXIrG8+553PP2TNhnVMGH8SF1x0IaNHj8btdmOaJk8//TS9e/dmyJAhv+CVdnA4MMKayUebavhmR5igahBwSwzJ8zOhUwp+5de5ibjtttu4//77AXjkkUe44YYbfpXzHghO4Obg4PCrYsR11LJdpUNTN+wyatwgWlRlByKwq6Rp2eVSJAEdk2v+dRv5hTt44+5nyGjRAsEtsb2sgHVbNrF+8wZWbFjDms3r2VlSgG7YGbzRx47gxTunYIRUQLB76uqNPS17ulX2u1CSPdw39TGemfkSut4wk+d1e4hrGm6Xi5yMLLLTW+BSXPy8YSWxeJwjO/egY9v2hCMRQmqY2miYYDhEsDZITU0N0WiUQHIyR3brSc8O3ejZoRu9OnSjTXoOginY15nINAp2pgzb6qte1FdSZORUny2nYlhowRhGTLUHLSxrlyfs7ogQN3Q+X/Q1737zCd+tWMzAfv0558yzOHXcyWS2zEJJ8QJQUlLCxIkT+eabbzjvvPN47bXXDu2L7+DQBIZpMWVxGa+urkIAYsausMQj2VPnFx6Rxj+OaYEkCns8zi/FNE3atWvHjh07kGWZHTt2kJOT02znO1icwM3BweFXJ1YSTPh3Ami1MdSyIFpIxYhptkOBxa6eNwsElz3YoJkaf3vgZrYXFzDzsZdokd0CyetCr41hxHUkr62tFg+rbCvcycuzZjBr/uf07taTx/4+iVRvgHovUExABMklJ3TYxv9lIj+tXY7H7UbXDVyyQv8j+jLsqMEce8QxdGnbgfosoOiSQYItRdv5eeNqdpQWkuTzk56dSVpWBikpqbRol0tKSgopKSlkpWcS2lSGHo2jVtRiaYZtPm/UBahQZ8Ng9/4h2HIqYt3QgyCJeFulYWlGXU+cgVYbQw+rtmBv/YRuHQUVxbzx1Ye8+eUHJPuSOeuEUzj/4gtp17lDQn9LCXhRkj3MnTuXiRMnEg6HicfjdO/enTVr1jT/L4PDYY1hWvxtzk5+KIigGnsOR9ySwKBWPp4+oXWzBW9ffPEFo0ePBmDChAnMmjWrWc7zS3ECNwcHh18dU9NRy0MJiyfLsghtKcOyLLTaqC2eawm2sC12n5goSXYQo0jEYyp/ffhmdpYV8e7T02mRk4UeUgELOdUHFmjVEdvRIK5THa7hximTWbJqGU/f9jCDex2D5Jax6mXOrDp3BMPk/JuuIBIOM+KoYxl85DF0b9fF9hk1TESPkhDSxbRAEpEUEUEUE4GVKEt4W6Ulypy+lmmJ67Ysi+CGYuIVIdSqsO0mYRi2+O7ub8UWdmBZZ2wvSmKd+0IyrhQvWk0UtbwWBAE9GkcLRut+ThZmXOe7VYt5dc67fL3se4b3O5YLx5zJcX0G4EryEOiam7DqAlAy/dx+5x08/vjjaLsNebhcLqLRqNPn5tCsPPZjKa+urtpr0FaPWxK48Ig0rh+Q1SxrOffcc3njjTcAeO+99/jTn/7ULOf5pTiBm4ODw2+CZdoDC2adoG1kZyWGqqNW1GLGNECw+7h0A8uy9eBEl4zsc9mBXyzOVQ/dxI7iAt5+5Q1yfOnISW47C4Y9valH4ujROFggJ7l5+Z3XueOxezlzzCn882//oE2LXCzLsk3gFZlYSRA9qmJGtUZ+noIk2I4ISW5AwNAMzIiKZZiISl3GziXiyU5JDCYIkojsc2FZli0H4lEIb6sgvL0cPRjbdX2796jVDxkIgCQmnBiUZA8pR7QCAdSyWiI7qxBEMKIaekwjGo7wxpz3efXTt6kJ13L2iJM594Q/kdeqNUgSAhauFD9JHVokrqm4tpwzzzubNWvW2K4RuyGKIhs2bKBjx47N8vo7OIQ1k8HTN+5X0FaPWxL4/oLOh7znraamhpycHGKxGJmZmRQWFqLU2d/93nBupRwcHH4TBFFA9rtxpfhQkj240vwIoh0cCfWlS5etYSbWaZnVm8CLiow/PZnpT73I4IGDGHLSSJZsWpkI2gB7grJu4ECuk+e4ZOIFfD3zU2KCTv9xx/OXW69h3Y7NKGl+jGidHEedp6pQpzMnQEILzawzfbclPATb+cBtW1+JLttOytJNzLiOUZcJi5UFUSvCxCpCqGW1KCleBEkC0c7wJW6dE64HgCwksouiJOJK9eHJScEIq+jBGJJbwZXmB1GkOljDUzNfZPCVE3hn/myumXg530/9iBvP/Sutc1ohKIod9HpceFunI/tcKEke5v/8A0ce3ZcVK1Y0CtoAvF4vq1atat5fAofDmo821Ryg+Zr95/HRpppDvpY333wz8Xdw/vnn/26DNnACNwcHh98J7owklCSPnaXyKIguu+woBzy4kn128OW2y5FKsl3yS+/Rmudensbdkydzyvln8Mob0xPHEyQROeCxg5xUH65UH76WqfQbPZg3353JunXraNEym1Fnjue0C89iwQ/f284ItpO9HbQJgv0uuVtCwKyfeDXtbVx+D0qaD8mtJPxWtbCKFrb79fRwHD1kC/XavWgW7qxk4kY8USpOaJ+Itq2X6FaQfS7kJA/uzGS82QFEWUIL7QqwquK1PPDSFAZcNIb5yxfy5M0P8NlTb3HG6FPwpvhtCy5FRpRFJLeCv1U6ye0zbb25FC+LliwmGo3u8fXQNI2VK1cestfXweG/+WZHuMEgwv4QMyy+3RE+5Gv5z3/+k/j+kksuOeTHP5Q4pVIHB4ffDaamEymoRq0IgQCy14Xsc4MkYEQ1JI+MOzMJ2etutO+8efM44/QzOOf0idx/+2Rk2TZrV5K9deXNpg2xCzZt44knn+TZl56nc14Hzhp1CkN69adlVq69Qb1ob511lBzwIAgiRljFwkIJeJH9desxLSSfCyOq7XKF2A1BEFi9cyMvvfIy733yIV/8+y2yUzOwhx3MhAiw7HXZmnD15WG/2w7qLIvC8hKmTH2SV958jaGDj+PaS/5K39bdECRbU86IG4lzSx4FOeBB9rjwZKcgueUG61mzZg233HILn3zyia21ZxgNnj/11FN5//33D/RldHDYL87/aBtLivd887AnjsnxMn1C20O2jnXr1tG9e3cAjjrqKH766adDduzmQN73Jg4ODg6/DqIi42+TUdfH1jCIcKX6cGckNRkQAQwfPpxFixdx8sknc8Zl5/L6K9PJzM5q0IjfFK06teXBfz3MtZf9lWkvTuOdebO55en7aN8yjyF9BjGkz0AGHdWfJH8SgmSXbM2oZvfGuSQwLYywamu41ZVzLcNEEHcZudcEa3jn0w+Z/t6bbN62hVNHjufVu58iJzMLTAuzTgZElCUEUUSQRSSvYltkYZdtS8pLeeSZKbzyxmuMP3EMX374Gb2P6AWAHtUwYiqYIHotME0ERcKV4kP2uZGTPUh1ZWTLsti0aROff/45X3/9NRUVFeTl5VFYWNgocPv5558P6PVzcDgQAm5p3xsdwv32xMsvv5z4/veebQMn4+bg4PA7pH5wwYjZU46SR7EDoyYyZv9NMBjkvPPOY+nSpTzyyCOcc845+7WfHlGJ7KhEj8QpLyzl2x+/4+sl3/HN0h8orixl0NEDGXTMALJSMkj3pZCRlk5GUgrpyWkk+5KQFAk5xUNJqIr169aybuMGNmzZxMb8zSxd9TM9OnXnvJPP4KQBo/B7fQh177ymadpBqmkh1mXYJK+CYIHkc1MdquGpN6bx3MvTGDlkOLdffws9u/dotH5vTgpGXY+e4JITgVr9OT777DM+/vhjPvvsMwoKCjj++OMZNWoUbdu2JS0tjZSUFL755huee+45tm7dCtgDCtFoFJfLtT8vm4PDAfHm2ioe/KH0gMqlHkng/wZlcXb3tH1vvB8YhkGbNm0oLCzE5XJRVFREenr6ITl2c+EEbg4ODn84LMvijTfe4MYbb6RDhw48+eST9OnTZ5/7xWujxMtq0SIqekhFFAWUVB/bSgv5csHXLPl5KaUlJZSVl1FWVkZZZTlxTUORZTJS0glGQsTUGO3btKVz2450ad+Jzu07cVSPI+nUsh2mZmBphh2sqUZCMkSwsOVAJBHZ58aV5qMmGOTZN17kmenTGDx4MPfccw99j+hNvKpxf0+9Ftt/E4vFmD59Oo8++iihUIjTTz+d0aNHM2zYMPx+/x5/DvPnz+eCCy5gx44d3HPPPdx+++173PbHH3/k008/5a677trnz9fBYXd+D1Oln376KePGjQPgzDPPZObMmYfkuM2JE7g5ODj8YQmFQtx///1MmTKFiy66iHvuuYfMzMy97mNZFqZmINgGC1i6UTfZKqPVRG3h27hOvCqMEdcJ1tZSXlFORaiajNbZdOvZA4/Pixas21Y37H64uuCs/t+mbtq2W5ZlDyRIIpLXBWluXnzrFf71/FP06NqN+x9+sIH1lBnXE+K7giwi+91I7oYTcFVVVUydOpUnnniCzMxMbrzxRs4555wDzpyNHTuWNWvWsGLFClJSUprcZsuWLfTo0YOVK1fSuXPnAzq+g8NvreM2ceJE3n77bQA++eQTxo4de8iO3Vw4gZuDg8Mfnk2bNvHPf/6T7777jsmTJ3PppZfi8/kO+Dh6RCVeFUGrjWHG/8vcXgBXqi1p4skKoAWj9lRpnSyIqEhYpoVaFsRUdUzDsq23DNvRK24ZvL90Do9Ne4qcrGwm3XQbJ44Y1UDAd18UFxfzyCOP8Pzzz9OvXz9uuukmxo4du1+l4qYwTZPx48eTmpqaECZtissuuwxd13nllVcO6jwOhy+/pXNCVVUVubm5qKpKy5Yt2b59O5J0aPvnmgNHDsTBweEPT6dOnfjoo4947bXXePbZZ2nRogUTJ05k5syZhMP7Ly0geV0IctNvm5Jb2TU4IdjyJp6sZNzpSbjT/LbuWr3sh2Bn2ARJwhQt3vv2E0b87XReeOMVHpv8IAs++YoTh49C9u5fhqy4uJjrrruODh06sGnTJubOncvXX3/NuHHjDjpoA7vH7eWXX2b27Nl88803e9zutttu46233mLDhg0HfS6HwxNJFHj6hNZceEQabknAIzX8ffVIQiLTdqjtrmbMmIGqqgBceOGF/xNBGzgZNwcHh8MMy7JYuXIl77zzDm+//Tbbtm1j7NixnHnmmYwfP57k5OS97m/qJrHiamIVIYCEaHD98IQoS3iyA7vOZ1rEimswTRO1PIRWE8WIa1iGxWfff8kj058mHI1w0+XXcN455+FJ9SeO626RnJgsbYqSkhIefvhhnn32WUaNGsWkSZM46qijDsFPqSH33Xcfs2bNYuHChXsMBC+77DI0TePVV1895Od3ODwIayYfbarh2x1hgqpBwC1xfJ6fCZ1SDrlTAsAxxxzDkiVLAFsSpGvXrof8HM2BE7g5ODgc1qxevToRxG3evJkjjjiCli1b0qpVq8T/679PSUmhoqycom0FFG/ZQXl5BZXBaqpC1Zw48gTGjhqNO91v96rthlYbI14TIV4ZRquNsXj5T9z19ENsK9rJDZdfzQWnn4Pb7Ubxe5CT3Lb+WrJnj0FbaWkpDz/8MFOnTmXkyJFMmjSJfv36NbntihUr+PTTT1mwYAFLlixh+PDhTJo06YA+pCKRCJ07d2bKlCmceeaZTW5T3+u2YsUKunTpst/HdnD4LVi9ejU9e/YEYPDgwXz33Xe/8Yr2Hydwc3BwcKhj/fr1rF69msLCQgoKCigoKGjwfW1tLelpaaSnppORnk56II20QArpqemMGz+OEyeMRfI0bZWjh1RWLFzKnffdzdc/LuDq8//MXy/5C8n+JMCeDPW2TG0g4/HfVFdX8+ijjzJlyhSGDRvGXXfdxdFHH73Xa3rkkUdYuHAhxx57LH369OHNN9/k1Vdf5aKLLuKZZ57Z7/LQiy++yAMPPMCaNWv2OORw+eWXo6oq06dPb/J5B4ffCzfccAOPPfYYAC+88AKXX375b7yi/eeQB24rV65k4cKFVFZWkpGRwXHHHUe3bt32e//PP/+ct956C0EQePHFFw/l0hwcHBx+EfFgFL22sa8n2BZb3pymJy9LS0uZPHkyL774IudPPJcbLvkbWem7zN5lnwtPVgAl4G1y/0gkwpNPPslDDz1Enz59uP/++xk4cOBBX8eWLVsYO3YsEydO5J577mn0vGVZFFcGKayoQdMNUvxeWmYkc+zAAfzlL3/hmmuu2eNxu3fvzrp162jfvv1Br8/BwWHPHLLAbd26dVx++eX88MMPjZ4bPHgwjz76KAMGDNjncR577DFuvPFGBEFopOLt4ODg8FuiVoYwolqDxyJqHDWu41Zk0ttmNihvaprGY489xv3338/w4cN58MEH6d69O4aqoVVHMXUDyaugJHsQlcaZtng8zrRp07jnnnvIy8vj/vvvZ+TIkb9o4KCeNWvWMHDgQKZPn84pp5zS4LlVWwsprgwS13WiqoYsigT8Hko3reZvV/2FzZs371Ee5NxzzyU9PZ2nnnrqF6/RwcGhMYckcFu1ahXDhw+nsrKSPR1OkiRuvfVWJk2ahCjuucnQCdwcHBx+r8SrwuiROACabrCtpIJwNJ54Xsjw06N9S0qra/n2+x+4/47/A8tkyr//zfgxow/oXJ988glXX301Xq+Xe++9l1NPPfWQBGy7884773DZZZexaNGiRM9bZTDMT+u3saWonPziSmKajigIpKf4GdCtLfdefxVDhgxh8uTJTR5z2bJlHHvssWzbto0WLVo0uY2Dg8PB84sDN8MwOOqoo1i5cqV9QEFgwIABtGvXjqKiIr7//ns0TUs8d/LJJzNz5kwUpek+ECdwc3Bw+L1ixDTUumnSTTtKiUZtKQFDgBotzs5wDWvXrGH5t1/w3by5nHHBJZx76ZW4XS56d2pNZkrSPs9hmib3338/Dz30EI8//jiXXHJJs8oU/POf/+Snn35i/vz5CILAuu3FfP3zBlZvLcL8r48Hv8fNoJZuLrnwXPLz80lNTW3ymCeeeCKDBw923BQcHJqBX2wy/8EHH7By5UoEQSAvL4933323wXRTWVkZt912W6JfbdasWZx00kl8+OGHeDyNLVocHBwcfq9Uh4OsXbOStSvWsnrdenYWFrB1x1Z2FhdQWV2JrtnZN0EQ+ffLb9K9zgTeAjYVlO0zcAuFQlx88cX89NNPLFiwgN69ezf3JTF58mS6du3KzJkzOeuss9B0g00FpZiWhaYbdaVgjaiq2e/zWd1o16kL9z74MI8+eH+Tx7z55puZOHEiN954416ttRwcHA6cXyyM8s4779gHEkU+/PDDRiPpLVq04Pnnn+fDDz9M6CPNnTuXMWPGHJDwpYODg8NviWmatGnThhHjT+Qfd9zA1Fen8u4n77B05U+UlhUngjaAM666CSU1B8uyiMWiAISiKrG4tqfDs2XLFgYPHkxVVRWLFy/+xUGbZVlomkYsFttjCwtAcnIyDz74IDfeeCORSARBEIiqOnFNp7I2QlTVqA7HiGkaqqazqaCccy+9kuenPsPaLdubPOaIESNo164dL7300i+6BgcHh8b84sBtyZIlCILAiSeeuNc3mpNOOokffviBvLw8LMvi22+/5YQTTiAYDP7SJTg4ODg0O6Iocu211yKJEpFohHg83mgbQRDI7diD9A49Wb21gBdeeJ7/u/ov+zz23LlzOeaYYxgxYgSff/75Pv1U/xvLslixYgX33XcfEydOpE+fPvj9flwuF16vl2OPPZaioqI97n/++eeTm5vLI488Qk56AI9LpjaqAhaqpmFZJgAel0Jc0+lwRB/y2rVnyr+fbDIoFASBm266icceewxd1xs97+DgcPD84sCtpKQEsBWI90X37t1ZsGABXbp0wbIsfvzxR0aOHElVVdUvXYaDg4NDszNp0iRa5uTueUhAEOg88nRM06K8aCcfvvIsx500kYpgmIDPg8fVuLd37ty5nHLKKTz22GNMmTIFWd7/DpbvvvuO66+/nk6dOjFo0CCWLl1Kv379uOuuu1iyZAlFRUUUFRXRqVMnjjnmGJYvX97kcURR5IknnuDhhx8mXF1B19bZuGQZURAxDBNJlPC53bgViYxAEsFwjPMuu4q3Xn2RiqrqJo95+umnIwgCH3zwwX5fj4ODw775xYFbvc/XngQZ/5vWrVvzzTff0LNnTyzLYunSpYwYMYKKiopfuhQHBweHZsXtdvPqcy81OSwgyQqd+g0ju2Ubyqpr+PyVJxh4wsl06tmX0sognVo1zqJZlsXtt9/OpEmTuPjiiw94PZMnT6aqqoopU6ZQXl7Ou+++y80338ypp55Kjx49yMnJIScnh1deeYWLLrqIs88+u8lMIcCAAQM444wzuPnmmxnapwsZAT+ZAR+x4k0sfftpSrasxQJKqmtZu62YpNadycjO4cVpLzR5PFmW+dvf/sYTTzxxwNfl4OCwZ35x4Jaeng7YJsf7S1ZWFl9//TV9+/ZNpPiHDRtGaWnpL12Og4ODQ7My4NhB/O0ye1J0dyRJ5viTzyYz4Gf9vA+RZIWTz7uM9GQf7XIzmpRBmjNnDps2beKvf/3rQa3l888/56WXXmLChAl4vU2L94JdurzrrrsQRZEnn3xyj9s98MADzJ49m+3rVxDftpwZ9/+Db9+YSsX2jeiRGnTDZGdpJet3FLNobT7djh/PQw8/Qm040uTxLrvsMn766SeWLVt2UNfn4ODQmF8cuHXr1g3LspoU3t0b6enpfPXVV/Tv3x/LslizZg1Dhw6lsLDwly7JwcHBodmQk9xMvuvuBlk3SVboP+4scHko2LiazcsWcMl1d9A6O4M22el43S4EGpZXLcvi7rvv5vrrrycpad8yIXuirKxsv7ZTFIUnn3ySu+++e4/9bqIoctRRRzFmzBheeupRairKMHQN2eVCVlyEIjHimk4kplFWHaJVlyMxRZmb73mE4srG/cppaWlccMEFew0WHRwcDoxfHLjV97b9/PPPB5R1A0hJSWHu3Lkce+yxWJbFhg0bmDJlyi9dkoODg0OzsnDFEhAExLrgLa1FFseNnYBpWqz9cR7HnngyWS1bY5p2477HJRPwN5Q/mj9/PmvXruVvf/vbQa0hPz+f8ePHk5WVxfjx41m/fv0+9xkxYgRjxozhpptuavD4hg0bOP/888nLy+PHH3/ENE1isf+y9pJkLAR0wyBu6CCAblocOWQsH7z5Kqu3FjY5NXvNNdfwxhtv7HeA6eDgsHd+ceA2cuRIwB6Vf/XVVw94/6SkJD7//HOGDRu215F1BwcHh98Dqqpy9dVX83+338lJZ5wDwBl//icZgQDpSW7yVy+lXa/+ACT73AhAl9bZjQYaVqxYwfHHH08gEDiodTzxxBPE43HWrVtHhw4d6Nu3734NAjz22GN88MEHfP3114nH7rzzTmbMmIGu64m+5YZYuD1evC4Z3bCIxzXKq0Os315CoP2RVJaV8NVXX1FYXtNozx49enDcccfxwgtN98I5ODgcGL84cBsxYgSpqalYlsW///3vPfzR7x2fz8cnn3zC6NGjneDNwcHhd82jjz6K3+9n9KkTueKaG/jH3Y/RsYcthVS1fT3+5ACpuW3ISUumTVY6R3dtS1ZacqPjeL3eg3q/rCcUCjFw4EC6du3Kk08+yYwZMzjvvPOYNWvWXvfLy8tj8uTJXHHFFYms2ksvvcTJJ5+M2+1uch/DMFENgbKaWmpjKrXROFE1TjimUhFW6Xj0UN5/81XWbW+66nLNNdfwzDPPJFx0HBwcDp5fHLgpisKDDz7IFVdcwcknn8yqVasO6jgej4dZs2Zx2WWXMXToUIYMGfJLl+bg4OBwSMnPz+f+++/nmWeewQJcbjfjxo0lJz2AgMWib+fR4cgBeN0KHVpmkpMRICWp6aEBr9dLNBo96LU8++yzTJo0KfHvU089lddee41zzjmH2bNn73Xfv//97yQlJfHAAw8A9s3z+++/z6233tqkHIllmpiChBrXUeMaalxH03VicR1VM8jtOZgNK5aybv26Jsul48aNQxRFvvjii4O+XgcHB5tDYjLv4ODgcDjwj3/8g9LSUmbMmMG67cXsLKsGQDdM1mzZye2Xnc5lt9xH95696ZKXDcCRHVo1mXF79913eeihh1i0aNEhXePMmTO5/PLL+fnnn+nQocMet1u6dCnHHXccP/30E927dwcgrus89MTz3HvLP9E0rUEFpN8Ft2B5kqiNxNBNCwGQRAFFlklL8lG28EM6tW3J8889R6vM1Ebnu+2229i0aRNvvfXWIb1eB4fDjV+ccXNwcHA4HDBNk7fffjuht9YmKx2pTuKjqjZM4c5tGIZOXsduZKfv6lvbXNh0U77f76e8vPyQt4dMnDiRiy66iPPOO2+vpcmjjjqKK6+8kiuuuALTtJ0RaiMqg4aO4KlX3yYtIzMxfAHg8rgRRQEQbPPVumULgoBmGLTpN4yvPv2IWKRpaZALLriADz/8kOrq6kN0pQ4OhydO4Obg4OCwH3z//feoqsrw4cMB8HlcHNU5j2Sfm9qoimlaSLJM+9xMvG6FipoQpVVBKmvDTZYPjz/+eKLRKO+///4hX+vDDz9MKBTinnvu2et2kydPZtu2bfznP/8BQJHtQC0rpyVX/ONGMrJyE9tKsgs1rtmTsnVzFoIoImAhSxKB7NZkZOXy7by5TZ6rW7du9O7dm7fffvsQXKGDw+HL/nurHAJ0XSc/Pz9hcZWWlkbbtm1RlMY2MA4ODg6/J2bOnMlpp53W4P0qJcnLgO7tkQQBtbIYSRSJxTVWbimgOhzFMExEUUBAYNTR3XDt1j/m9/u58847ue222zj55JMPyOpqX3i9Xl566SWGDRvGzTffjN/vb3K7pKQknn76aS644AIyMzP54YcfePvd99i6eROCKJKemUWbzj3YvnENfo9CrWogiiDU/QdgWiAIIAoio8afzIzXX+Piiy5s8nwXXnghr776Kn/+858P2bU6OBxuNHvGLRKJMHXqVAYPHkxycjJdu3Zl4MCBiWmoQCDA4MGDmTp1KuFwuLmX4+Dg4HDAmKbJO++8w8SJE5t8vk1OBi5FxgLW7yihIhjGMEw0wyAaizNnyVpenP19I5Hayy+/HE3TeOWVVw75mo855hjat2+/xynTtWvXctdddzFp0iSqq6s544wz+Ne//sWWTRuxLAvTMOjV5yj+cscjpLfMo2jNYlKSvCiKjCxJKLKEJIq4ZPv7vKxULr34YubNm0dBQUGT5zzrrLNYtGgRmzdvPuTX6+BwuNCsgdsXX3xB9+7dufrqq/nxxx9RVRXLshp8qarKjz/+yNVXX023bt34/PPPm3NJDg4ODgdMQUEBxcXFDB06tMnnW6QkkZ7sw7IsgmFbYiMW16gJRRAECMfibCoo5dsVm9hUsKvnTVEU7r33Xu6880527tx5yNd99tln8+abbzb53F133cXkyZNZunQpYFdEdu+J83q9HHfccQzu2YnzL72S/CVfk+r3kub34fe4EEUBSRJI9nlITfKSm5HKEV07MWLECF5//fUmz5mZmcm4ceOYPn16g8erqqr2GOw5ODg0pNkCt5kzZ3LSSSexc+fORJDm8Xjo06cPo0aNYuTIkfTp0wePx5N4vqCggAkTJjhTRw4ODr8riouLadGixR7bOgRBoFOrFoiCgGmahGIqJZU1lFeH2LizjM2FpazJL+LnjdvZsLOESGyX0fvEiRMZO3YsQ4cOZdu2bYd03WeffTafffZZoj1ld5555hny8vIaWHftjq7r/Gn8aAZ0b8e4k05GFgWMks1kpydjWSCJIrIoomoapVW1KJLEso07OHbkWP7zn5f3OHQxZswYXn75Ze655x7Gjh1LdnY26enpnHjiiYf02h0c/qg0S+CWn5/PZZddhq7rWJbFUUcdxaxZswgGgyxdupQvvviCOXPmsHTpUoLBIB9++CFHH300YL9ZXH755eTn5zfH0hwcHBwOmOLiYnJzc/e6TatWrYhGwgQry4lG45RWh6isjVAdilIdilIVirJ04w5mLVjOF0vWUFpVC9j+oM8//zyjR49m6NChbN269ZCtu1OnTnTo0IEFCxY0ei4jI4N58+btsf8NoFevXvg8LtrmZjJiwhksnfcRwXCMlCQPAZ+bFL8XlyKTmxGguCqIYZr0HTyE/G3b+H7hLpmTJ598kqFDh5KamsqVV17Jtm3buPfee/nss88oLS1FFEUGDx58yK7bwWFfzJ49m7PPPpsOHTrg8/lwu93k5uYyZswYnn/++caWb78jmiVwmzJlCuFwGEEQOP/88/nxxx856aSTmmy+lWWZCRMmsHDhQi644ALA7otzPEsdHBx+LxQVFZGTk7PXbbxJAbodeRTLF86nuCpIRI2j6jrRuEYwHKM2EiUa18gvqWTttmJmfb+C97/9mR/XbqWgvJqnnnqKU089lSFDhrBx48ZDtvb+/fuzePHiJp/r0KEDn3/+OS6Xq9FzRxxxBLIss6O0ksLyGk4542xKd+RTU16EYVj4PW7cLoWWGSlkpQYIRWNUBsN4vT6OHTaSl6e/ljjWRx99xIIFC6ip2WWJFY/vyjp6PB5OOumkQ3bNDg57IhQKMW7cOE466STeeusttm7dSjQaJR6PU1xczOeff84VV1zBkUceuV/+v78FzRK4ffLJJwC0bt2aF154YY+p+AYLqbvrzMvLw7KsxDEcHBwcfmuKi4v3GbgtXreNHv2HsGPVIqLxOJpuEtcMDNPEsiwM0yIUiRFT46zeUkR1KEp+cQUFpVV8vngtb361hMuuuZHTz5jIgAEDDplsxjHHHLPHwA1g4MCBzJgxo0EZWJIkhg8fTmUwzPodpZiWRWZGGq279KRm2zqwLFTdQNM04rqBZYFlQVw3ABhw3FC+/nKXLMjrr79Oenr6HtegqiojRow4BFfr4LB3zj//fD799FPAjlEef/xxvvzyS77//ntefvnlRPVv48aNnHDCCdTW1v6Wy22SZgncdu7ciSAInHrqqXv0vmsKt9vNqaeeCuA0qjo4OPxuiMfjexXKrQlF2VleTbd+gwiWFaGotQlxXgHqhGshrGrUhGPolkFc06kMRli9rZjqUJTCiiAbd5Yy4fw/89BjU7jyyiu56KKLGmSpDoZjjjmGRYsW7XX9p59+Og888EAi8yZJEoMGDUo4QwAUVQTJ7dKbkk0r0QyDmKoRjesUVwTZWV6JIECKz7b36jfwWLZu3ph4H2/RogWzZs3aY49g3759SU5u7C7h4HAoWbZsGR9++CEA3bt3Z82aNfzjH/9gxIgRDBo0iIsuuohFixZx7rnnArBjxw5efPHF33LJTdIsgVtSUhLAPu9Qm6J+n731XTg4ODj8mgwfPpy5c+fuMfgpqqwh4PPgT0qmdbfeVGz82ZbJkEQsy0I3TOK6gaYbxHSdymCU0qpaqkIRREFIHKcmHMUCOvcdyM/Ll1NUVETv3r359ttvD3rtvXv3JhgM7rN37rrrruOSSy4B7EB1wIABRNRd5cz8knJadOhBTWE+NdXVRNU4um4Q13VKK0PURmKUVgepCIbxJwfoe1Q/Pvvss8T+gwYN4uGHH250M+/xeDjttNMO+voc/jjUK02EQ2FCtSHCoXBCjeJQsHuv53XXXdfkzYIgCA08gJvqD/2taZbArVOnTsDBZc3q9+nYseMhXZPDH4ft27czevTohE2Pg0Nzc9xxxxEMBlmxYkWTz+uGSZLXTVqyj+7HDGHHioXIgolhWljYHwYi2CXGmEZ+URnzfl7P2m1FqE3YUumGiTsphc8++4zrrruOMWPGcOuttx5Uw7TH46Fnz54sW7Zsr9sJgsDTTz9Nq1atEASBvLw8fG47A1cZDLN0ww6qNRFvRg5V22wzed0wUeM64VicmrrhiyXr8ikoq+LE0aMTJal6rr32WsaMGdMgeDMMgzFjxhzwdTn8cbAsi2gkSrA6SCwSQ9d0DN1A13RikRjB6iDRSPQXB3C7lz3btm27x+3atWuX+F5V1V90zuagWQK3s88+G8uyeP/994lGo/u9X739iyAInHXWWc2xNIc/ALm5uXz//fesXLnyt16Kw2GC2+1m5MiRe+y9TfF7AGiXk8Gf/nQq/rQMipd+WSdSKyHVeXzqpoUJxA2TcFRlR2kVXy3bQEG5LdcR8HsTxzRNC1EUueaaa1i0aBFffPEF7dq148EHHzzg8qkoivvVayxJUiJLFgqFyMtKQ9MNFq/fBhbohkFKm25ECjbgdbsRAJ/XTcDnwbTA61II+L0IgkDbHn2ZM2dOA204QRCYPn062dnZicd8Ph+9e/c+oOtx+ONgWRaRUIT4btndpoircSKhyC8K3rp06ZL4fm/SO7s/17Vr14M+X3PRLIHbX/7yF3r16kVRURGXXnophmHscx/TNLn00kspKiqiV69eXHHFFc2xNIf/QUzTJBjcpTivKApDhw5l7tymPREdHJqDcePGNcog1ZObkYLHJSMKAh1atuD62++heOX3KLEqkr1uPO7GU5umZQdnVbURVm0pxCVJBHwe1LhGOKri9+za54gjjmDx4sW89NJLzJ49mzZt2nDLLbdQXFzc5Hr+24Wmurqa1NTU/brOnj170qFDB7799ltcikRRRTVr8ouoDEUIhmP4WnahtmAjWDqGZWHqJj6PgigKtEhNxut2UVUboXX7zrjcbn744YcGx09OTmb27NkJlYETTzwRUXRssw9XYtEYuq7v17a6rhOLHrxMx/jx42nVqhUAjz/+eJODB5ZlcddddwG26sXv0Z6tWf5aPB4PH3/8Mf3792fmzJn069ePd955p8k0fywW45133qFfv37MnDmT/v378/HHH+P1eps4ssPhyPr162nZsmWDx0aNGuUEbg6/KmPHjuX777+nurq60XOyJNGvSxsyAnZv7tFH9eG4saex/dv3SUvygGWh/1dp37IsTMtC0w1qwhEMw2BzYTlrt5dQE46yaG0+q7YWYtTtJwgC48aN49tvv2X27NmsWrWK9u3bc9VVVzF//nxWrVpFfn4+Dz74IG3atGHJkiWJcx1I4AYwYsQI5sz9ku9XbWHRunxicQ1ZFJFlCSUtG1HxECzcimmCiX0dalyjpCqIqul2UGpZDBk6vEk3nJ49ezJ16lTAaYs5nLEsa5+Ztv8mru59UGhveL1ePvzwQ3Jzc1mzZg09evTg3//+N/PmzeOHH37g1VdfZcCAAcyYMQNZlnn22Wd/lxk3wTpUXX+7UT/WrWka33//feJxSZLo2LEjGRkZAFRUVLB582YMw8Cy7LLAoEGD9mk6LwgCX3755aFetsPvlK1bt9K5c+cGd2WrV6/mmGOOoaqq6oAmlx0cfgm9evXizjvv5Mwzz9zjNqqmoxsGZRVVdOvcEU9yKjkjL0I1RXZ/s7WnTcElyciKTMfcDDq1zqJDbiZd8rJt+6xIDEWS6NAyk8yUJLJSkxpkp1auXMnDDz/MN998Q3V1NcFgkEGDBnH33XczatQoBEHAsixkWWbz5s0Nenf2xptvvsk9993PJbc/xsrNhewoq8QwLXTDIKrqbJ33Jp6UTHKPGonP48LvdZOW5CUjkIQkiuRlpXJkx9as+eErPvrgPb766qsmz9OyZUvuvfdeLr300v1al8MfC1VViUUOom/T5/lF7/slJSVMnTqVRx99tEmP9LPPPpsbb7yRo4466qDP0Zw0VsQ9BHz99dcIu01K1aPrOhs2bGjwmGVZCIKQeIPZPdBrivrtHQ4fvF4vhmFrRtUH9T169CA1NZUffviBYcOG/bYLdDhsmDBhAq+99tpeAze3IuNWZHwts+nWoyfLf1pE6N3HyTh6HJ7W3Rq8f5kWGJZJsksmPcVPTnoKEVWjqKKacEyjsKIaXTepCUdokRogI+Cjb+c85Lp+tV69ejXw/TRNs1HZMRQKYZrmfmfcSqtqCbTswNrVq1i8agNh3R6W0HQ7k2aYJkk57anZupJkn5sWKckIAiTXSYEYpokoiKT4vYwaPpQ7b7sFwzCa7LE76aSTfrcipw7Nj67tX4m0qf1+SeA2c+ZMXn/99SaDNrC1aJOTk3nggQcSiabfE83WWPDfZvL1ib39eWxvXw6HH/Vl890HXQRBcMqlDr8611xzDXPnzuXHH3/c57aCIHD+ORMBMOIxyhZ+SMm86ei1lQgNthMJ+D14FAXqcnJrthWzamsBFTVhasJRthZXsHZbEQXlNeQXV+zxnE31iq1du5aUlBQCgcA+11xaVcuKLQUIbj+B9EwKtm6yy6SSiChKaLqBIIC3RRvCJdtplZ5MWsBPy8w0XLIdmPk9LlplptCnU2t69OhhX8+aNU2e76ijjtrntKvDH5eD/Uw/2P1M0+Tss8/mmmuuYdOmTYwbN4558+YRDAZRVZX169czadIkVFXlhRde4JhjjmHTpk0Hda7mpFkCN9M0m/Vrf4YdHP44eDz2xN5/90iOGjWqyf4ZB4fmIicnh2uvvZZbb711v7Zv1bIl7rrfX8s0UMsLKPj0OapWfo1paEiCQGaqnw45mbgUCbuAarG9tIqYuisbIYkShmnZTgu7ieLWUxOOsqmgjE0FZQT/q/T06aef7vcAwJptRWwpLGfx+nwCWa3ZuXUjoaiKBbgVe3gi2eumTfsOKB4vaUKErq1b0Ldzawb2aM+xPTsypHdnjurSBo9LQZIkjjnmGBYuXNjk+fr27cvSpUudm/LDlIOtnh3sflOnTuWtt94CbAeF2bNnM2zYMJKTk3G5XHTp0oW77rqLDz74ALDbdC688MKDOldz4ozyOPzucblcCILQSFpmzJgxLF26lJKSkmY5r21TFEPTa9H0Wgwj5nzAOHDjjTeydOnS/cr2tmzZskF2DcsEyyS4/keKZk/FFymmd4fW+Ly2YTtApE7Ytv6zySXbpVewS5blNWG2FpXz1dL1fLFkDW98uZhPf1zNqq2FLN+8k+9WbmZ1fhGWZVEdivDhrI84dsjwxJBD/Q3wfxOOqazcUkB+cQUllbVktmpHpKIITTeojcSIqnFkWcTrdpGW7Kd9155sXbsSBBHTtMjNSCErLRmPSyE3IyVx3IEDB+4xcDvyyCOprq5m586d+/GTd/ijISsH1611sPvt7oLwwAMP7HG7MWPGMHLkSAB++OGH3530VLP0uP0v89lnnyWmxwYNGvRbL8cB++7K4/E0CtyysrLo168fn376KRdffDFQ/6EUxcIABCysug9OAVF0IQqu/bpbs9XuazGtXVkP09IQLBVFSkYQnHuew5W0tDRuvvlmbr31VkaOHLnX36fc3NwGZur1WIaOFq1l9Uf/Ibx1OZffNJnOrbPYXlKJYVh43IqtASeJZKXZTjS6blBZGya/uIJF6/JJ9nnQdJ1gWMWwTJI8btIDfkQBCitq2FZcTjQcYvnyn8nt3JMvFq/F61bQDRMByEhJomPLTJJ9dkawtKqWUFSlJmz/nWXltWfT8oUkedyE4xqmCV6Xi0CSl/Y5GXgGDOSnhd9RHYpQXl3L9pIKZEliUM8ODaRMBg4cyC233NLkz8fr9ZKbm8u2bdvIy8s72JfE4X8Ul8t1UMMJ9dZsB0p9yT47O5vWrVvvddt+/folhiDXrFlDr169DuqczYHz6bMblmVx/fXXA3DDDTf8xqtx2J2UlBQqKysbPT5+/Hhmz56NZVloephovIiYVk4sXk44upNorJBorARVryauB9GN8H5lzQwz1iBoq8eyDAzz4HWEHP4YXHPNNezYsSNRUtkTubm5e3T4EAQBBMhr044j2rUkNclH97a5tMtJp0/H1mSnB8hrkYoiy0TVODvLqsgvriAUiRGKqol/7yitoDJo98LphoFpwfrtxfy0YQdLflhAx85d8QVSWbe9mGUbt6PpBhZQXhNiyfrthGO2Mnw4Fk8EoVE1jisth9ryYuJxFa8ikxbw0SozhU4tM1HjGhltOrN57UpKKmuoDEWojapYAizbuJMPv1tBJGYHrAMGDGDt2rV7FA3Ozs5utqy5w+8bQRBwNaFxuDdc7v27+W6Keu1ArQm3kv9m9232pXTxa+MEbrsxa9YsNm/eDMDixYuZP3/+b7wih3p69uzZZLp6/PjxfPHFF0RjQVS9EtOMY1kmuh7BsGLoRhTDjKJrtWh6EE0PYppN6wbtPgCzp2329ZzD4YHP5+OOO+7gtttu2+uHQHJycpPTb6IokteuA1Onv80zT/2b9rkZpPg9tMvJ4Mxh/RjSuzO9O7bG73EDFuU1IXTTzqpJkkhBeTVbCstZu62Yooog5TW1aLpBRNXQDYNILE5lbYR5n3/CgOOHUVIVxDAtDBOqandN0hmmSX6xfUOkyBJZqUmEoirBSIy45EHx+AiVF2EB6Uk+IqrGlqIKUpN9pOfmYVkWq1evprImRGl1Leu3l7ClsIyNBaWs2GKXP7Ozs8nKytrj9GhOTo4TuB3GeLyeREC1L2RZxuP1HPS5OnToAEBlZSWrVq3a67Zff/11o/1+L/xqpVJN09i6dSvV1dX77bc3ZMiQZl7VLkzT5IYbbkj4kum6zg033MCiRYsc+ZHfAX369OHnn39u9PhRRx2F1+tl/jefM/i43mBZmKaGae36MDWxENCxDAPL1BGQ8IhZidfVskwMM4phxgELQZAwzTiCuCeLIKfPzQEuv/xypk6dyl133cV99923x+3S09MpKioC7Dt3QRBwudycccbpXDrx5IS0x+4c2aEVsiSS7HVTEQyj6Sb1AdyGHaVEdyu/qoaOXmuCVYXHJWOaXjujtjOfn5f8yHW3T6ao1n5f03SdrcWVFFXUEI1rpPi9GKbJEe1yyUkP4HG78LldRONxwrE4/syWqBVFJLfvgtut0CojhbAaBwQiqk5aq/YEC/PxZ+SgagZul0wsrhFR47TKSOWIdi1J9nlo3749W7ZsoX///o2uNTs7e48OEA5/fARBwJfkIxaN7VWM1+V24fF6ftHn8SmnnJJIAFx99dV8+umnTYr9P/nkk4lp57Zt2/7uLNmaNXCzLItXXnmFadOmsWTJkv1KT9YjCMJ+22AcCt55550GDbKWZbFixQrmzJnDiSee+Kutw6Fp+vTpw1NPPdX4CcFk9JgRzP74CwYfe2TdgxaWZffxIIhg6WCJIEiY6OhmCM3woEjJgIBm1GJZRl22zcSyTLufzTQRxcYpckH4faXNHX4bXC4Xb7zxBgMGDOCEE07Yo55gTk4ORUVFuFwuhgwZwosvvkhNTQ2jR49GV2M8/vjjjSY+FVmid8fWxOIaO0urSPK6CIZjFFbUoNZpX9VXYKMxLaGFGQxHiesGoYjKT1+8y7g/nUl6ZgtKwkVoqk5heQ2KbMt6mJZFUUWQ7SVVtM/JoEteNtmpybgUCVXVcSsSqS3bU1uSj9czCtO0kESRVplp5KQnU1pVS067LpTu2EROr4HohoG77iMlHI2zvbSSWFwj2eehQ4cObNmypcmfj1MqdRAEAa/Pi8frIR6Po2t6QrNVVuTEgNov5brrruM///kPBQUFzJ8/n759+/L3v/+dfv364Xa72bp1KzNmzODdd99N7PPoo4/+7pI3zRa4VVRUcMoppyR86n7P03iGYXDzzTc3ygTG43FuuOEGli9f/rt74Q43+vTpw4oVKxoJeZqmygUXnMMZp5/HzbdcSVKSB7MuI2ZhQd3XrlfPAsS6XjUVQRAxTR3TimOaWt3zAgICpmUAEmBgWQYIIKIguQ4+Ve/wx6Jnz5488sgjnH/++SxfvrxJsc7OnTuzbds2nnvuOU4//fTEe8mCBQs48cQTqaio4D//+U+TfTQel0LbnAy2l1ZhWRDXdFyKRCRmElU1DNNCFAT7t9yyqApFaePzoteUsHnVMu6+/2EAUpJ87CitQtV0DNNs8H7mUiQWrtlKapKPvKw0OuS2IBRV0StNcjp05+ePXibV70NRJIoqg2iGSYrfg6LIpLfuwIYl36JqBppuoJsmoiDgcdmB5qI1+ST5PXhTMlizbkOj6wM7sN2TzpvD4YUgCLjd7mZzw0lLS2Pu3LmcfvrprFmzhvXr13P11Vc3ua3X62XKlCmcccYZzbKWX0KzBW6nn356wgWhZcuWTJgwgS1btjBnzhwEQeCOO+6gpqaGVatWsWDBAlRVRRRFLrvsska+lM3NG2+8scdU/YYNG5g9ezYnnXTSr7omh4Z07doVwzDYtGlTA+84yzI49rhBdOvWiWkvTOfv156PhV1WAhEsW8W9vp1TECRE0W6GNc24XRa14v/Vt2bZ/1kWhhEDwdYNFJBAtINFUXIGsh1srrrqKr744gsuv/xy3nvvvUY3ec899xyyLJOUlNTg8Q4dOrBgwQLGjBnDqaeeyttvv43P52t0fEWWaJOdxpaiCrJSk6kMhlHjOqIoIIrgcyuAgCSKxDUTSRJY+81sho8/lfTMFgBkpSaDYAeCxm7DEi5FJsXvpSYSY3tpJe1zMzEtk+5tsvF73ORlBljyzlRqygqRA5kI2JZepmmimQYpuW2J1VZRVV6GPyUNEHDJIlFVpTwYIqbpuHWD1MxsvlyymMLyalpmpja4PqdU6vBr0q1bN5YuXcrMmTN57733WLZsGaWlpei6TkpKCl27dmXkyJFcfvnlv9tJ52YZTvjggw/45ptvEASBsWPHsnHjRqZOndqg5HjXXXfx+OOPM2fOHLZt28aFF16IaZrMmjWL8ePHM2nSpOZYWiM0TWsy21aPqqrccMMNe5wMc/h1kGWZXr16NdHnJmIYUf55/WVMfeZ1ItEYJDJtOnYQJtWVkmQk0Ysk1k8x1Q8iNF3CtywdUZSQpaS6Lx+CIGGYqjOg4JBAEASmTZvGokWLeP755xs9n5qa2ihoqycnJ4f58+cTCoU44YQTqKqqanK7Tq2y6No6iy552eSkp+B1K2SnBchITsLv9eD3ugn4PaSneFm75DvWr/yJP1/5NzICfoLhKJFYnA45Gfi9LjwuBY9LISPgJzcjgCiKiAiEoioZAT9pyT4QRFqk+pEVhZz2Xdm8ZjmGaaIZ9vtgeTDE1qJKVFPEn55DvGInkihiGCaiKOHzuFEkCVGyg9jcVnkUF+xgU0FZo/fS9PT0JifGHRyaC7fbzQUXXMD7779Pfn4+kUiEeDxOWVkZCxYs4O677/7dBm3QTIFbvTKxz+dj+vTpTTb/7U5WVhYvv/wy1157LSUlJZx55plUV1c3x9Ia8corr+zzTSM/P5/333//V1nP4YZlWZSWlu7XtiNHjmz0OoiCC8MMM/LEwWS1SOeN1z9iV+BWv40AiEiiF1m2gy/A7l+zBExLw7R0LGu3DxQLO3MnkOgf2h3DCdwcdiMzM5PXXnuN66+/nlmzZh3QvikpKXz22WdkZGQwaNAg3n777UbuMLphoBkmLTNTaJ2Vgt/rRpFFwqpKVFUxTJMUv5eyzWv46o3nOOOq/6MiBhXBMAG/l4Dfg9ulENcNUvwecjNS8HvcxDUD3TBISfLicdml2j4dW+FzKbhkhbwWaXTo0ZvK7RswDBOf24XXrVATihHXNCwLUlq1R60owO+xRYS9bpnUJB+GabKloJzaSIycVq0oLS4iEotRE258k7w/rg4ODg42zfLX8uOPPyaybenp6fu930MPPUTLli3Zvn0706ZNa46lNUBVVW677bZ9TrmqqspNN93kWG01A6+99hoTJkzYr20vueQSPvjgAyoqdnk17hLCNbnmnxfy9BPT0TQd2zpIAEwsU0KW/IiibJc7sbvYLMvEsKJgmZimim5GMQ01cWxJUOqO0RS/355Nh9+G4cOHM23aNC688EL+/Oc/EwqF9ntfr9fLe++9x1VXXcUNN9xAly5deOaZZ4hEIpimybKNO8gvrsCyoFf71qT4vLYVlWn3ZIqCwPoVS/nqtac49vTLUDLbsamwjOhuU3rZ6QHSknxU1IYprQqyo8yeLi2pDBKKxsgI+Ji3bAM/rs1nQ0EJG3aWUFBeQ6cj+lC8ZR1uRSbZ50YSRRRZQkBAMwxy23UhVLIdj0tGlkVUzUQ3dCRRoLQqyLrtJUQsBcuyqCwvb3TthmE4gZuDwwHQLH8tZWVlAAmD4Xp2bypvKlhyuVxMmDABy7J47733mmNpDZg2bRrBYHC/ti0sLExkEh0OHePHj2fZsmX7ZeTbtWtXjjnmGF5//fXdHhUxLQPL0jn51OHIisxL095hV2AlIIoigihgWqZdFrUsEGRMS8Oy9LohBsAyMSy7DGqXRRVEoXEvm52Zcz5oHBpz9tlns2LFCjZt2kSfPn1YsmTJfu8ryzLXXnstmzZtYvLkyTz//PO0bduWcy+4kKemPMYXH3/A8iWL2LxlK4osEo1rWIBLFtn4wxesnDWNdsdNIKtLH8KqSll1LYvXb0vccLpkmaO65CFLEhFVQ5FkfB4FURTYXlrFc7O+Ze7StWwrqSKuGVgWlFQGqbJ8WJbFzi0bqI2oiVJnNK4hYJHaqh01JTtomZFMkseNKEB1bYwNO0vZWlxBfnE5a7eXorhcmHqcFH/D4R7TNBt8Njg4OOydZvn0qbd4+e9G2937PMqbuPMCEnXlrVu3NsfSEkSjUe6888791pSLxWLcfPPNv6pEyeFAeno6Y8aM4c0339yv7S+77DJefPHFxJSyZakIlghYSJLAv5+6lQfue4FPZn9DYqJUEBDq+tyo+9L0GnQ9hGGoSIKCgIwoyIiCgoWFiYaiBBpYW1mmjm5EMIwIhhklrgf32B/ncPjSpk0bvvzyS6666qr9FhbdHUVROO+881i2bBkvvvgiSYE0Cnds57NZ7/LI3bcw5b47KA9GCPg8aJEaVrz/HOXrFtPtpMtp1WsQXpeCS5FRJImKmjBrtu1q/DdNi9z0FAZ2b0d6wEsooiIKIuGoyvIthazeWsSa/EJMy0QQwLBMdAtS87qwdeUSiiqr2VFajWEYGKaJblp4AhkIosSGdevYXlpJSWWQwvIqgmGV4sogW4srqApFECWFjCRPo+yak3FzcDgwmuWvpb48Wltb2+Dx7OzsxPcbN25sct/6fqc9NekeKp599lkikcgB7VNeXs706dObaUWHL+eeey4zZszYL8mYM888k61bt/LTTz/VmcCriOKuG4SBg3rzzHN38tcrJrPwh+WAhW5o9jCBZdklUtOoK5PGMa04CCKS6EYUFQRBtidPBReKlIws+REQsUwD3bQ9HCXJiyCIWJaOZoTqZEMcHHYhiiLXX389ffr0OeB9q6qqePXVVxk9ejSnn346kixx8+SH+Nfz03nlwzn86eo7KNu5leWfvMbS6Q+TlJZJ//NvIJDbFoC4bpCe5EMUBCIxlZ2l1YSi9g1qRI0TjqoUV9VSGYxgWbCtpJJNBaUYhi0xUhu19ymvCWGYJhFVpVWvQZSuW0Q8Fiem2a4MlmnZIsE+H6m5bSnetpGacJRoXEMzTFRNIxRVqagOU1BajeJyNXmj7GTcHBwOjGbRNOjatSulpaUJ+6h6jjzyyMT3c+bMYfjw4Q2etyyLefPmARxQb9yBEg6Hufvuu/eabZNluVF2LRaLceutt3LeeecdtMmtQ2MmTJjA5ZdfzooVK/apUO33+zn77LN58cUX6devLxZ1b/q6DNiZ3nHjh3DX5L9x4bk3M+uTZ+jWvSNxw+5ZMy0dQZDsEqllYGFgGXXCu9iBnSDIiecl0Y0ouND0GmTB34S5vIVpxBBlf7P8bBz+d6ioqGDRokVEIpHEV3Z2Nv369aN169Z71YIsLS3lgw8+YPr06fzwww+43W4ikQgul4u09Aziuk4sVMv3C75h5uuvUpi/iTa9BnDCn28lp00HdpZVosc0FEnE73ERVlW2l1ajaTrVoSgul0TfznmocR1V16goCVFQUYMa1zBNC8M0iWs6ogCRWJxYXEMSRQTsQDC1TWdcHj/V+ato33sgcd1AkSWy0wMIQIu8joTLCwi06oWm60iiiGiKCIqAW5EIq3EkWaGypnFrimmaTsbNweEAaJbAbdCgQXzzzTcsWrSoweNt27alZ8+erFq1imeeeYazzjqrwQf1pEmTWLlyJYIgMGjQoOZYGgBPPPFEwtpqd1wuF5MnT+b//u//ePzxx7nuuusauT1UV1fz0ksvceWVVzbb+g43/H4/p5xyCjNmzNgva5HLLruME088kfvvvw9fEvbkJwIWImD331x86Z8oKang7DOu55MvnqNlq1YgGFjodWVTBcNUsUupFtRlzSxAQsQQ4sT1WhTZjyhIdlDXKGiz2d1ey+Hw5LPPPuPiiy8mEAiQmpqK3+/H6/WyY8cO1qxZQ0ZGBn379qVr166JL7fbzZIlS5gxYwZLly7F4/EkqgD1/7csi3lffckr/3mJkp3byGvXgSMHj+T4c/5OHInUJB8uRSLg94EQJSM5iZpIlJpQDNM0EUSBSFxjS2E5mSl+FEliR2kV4To/0qiq41ZkwMIwDQxTxDBtkzjNMMAE3TRI9nnI63McBSu+o3O/Y3ErCl6PQrLHTVFlDcnZeeSvXorcTQXB/ms0BRMzbt8MiYKAKCsYTbSaOKVSB4cDQ7CawdJg/vz5DB8+HEEQWLFiBUcccUTiuZdffplLL73UtrKQZYYMGUJ6ejo///wzmzZtSthczJ07t1FG7lAQDAZp1apVo4kvl8vFrFmzaNWqFb169aK8vJx58+Zx7rnnNgreMjMz2bFjBx6Po6B/qJg9ezZ//etf2bJlyz7LJpZlcdJJJ+H1epnxxn/QjVqialFdALVLCsSyLG7458Ms/nEl7330FJmZ6YBkDxxYAladzptdHhXtIQXLAOo139y45FREScEwVESxadsVQZBwySmH+kfi8D+AqqrccsstvPDCCzz55JNcdNFFjX5HIpEIy5cvZ/ny5WzYsIH169ezfv36RhWJPXHMsNF06zuAFnmd6NKpHYokEY6qlFQHicVtqzZFEthWUo0sCZRU19rlR0HE73UjiQIZKUlomoHLJVMZDBOOqsTiOqFozLYbcrvQDB3TsGyBXQtULY5hWHjcCgGfh5xkN+8/cj2j/3IruW07kB5IQhJF1mwrorSkiB9evIf2Z96EIMkJbThRFOpEfj2s/2Aqjzx4Hxeee3aD65s2bRozZ87kiy++OGSvi4PDH5lmuc0ZMmQIPXr0ICsrixkzZjR47uKLL+acc87Bsiw0TeOrr77inXfeSQRtALfcckuzBG0Ajz/+eKMSqNvt5pNPPmH06NENHj/jjDN4++23G1nRhMPhJoU2HQ6eE088EUmS9quHUBAEXnnlFRYuXMhzz74MgoiQSB5bDbZ76NHr6XFEJ4YMPp+PP5oH6JiWioltKF9vFWSYGqap1/3bwDB1dCOMqlVgGhoIYFqNs7QAktA89iwOv29M0+SCCy5g3rx5LF26lIsvvrjJwN7n8zFo0CCuvPJK/vWvfzF79mw2bdrE0qVLadOmLdJeXDgkWeaMv1zHkQOOJ7dlLoIg0LN9S/p1a8uA7u3p3jaHNllptM5K57wTjqZtTjoeRSHJ6yHZ70ESBQI+L+GY7R26o7SKsuoQNaEo1aEIMU1HN21/3nhcx+/34HbJCFAn+2Fn4OK6jiG76NzvWLb/vICA34uu6yT7PPjcLpLTMmk9YAwitm6igD0HJEsioiDgVlwEkvzINBYyLy4uJicn59C9MA4Of3CaJXATBIFVq1ZRVFTEfffd1+j51157jWeeeYYjjjgCy7ISAVu/fv146623uPfee5tjWVRVVfHQQw816G3zeDx8/vnnjBw5ssl9TjnlFN5///0GwVs0GmXSpEkHPNzgsGcUReH+++/n9ttv36+fa2ZmJm+++Sb/93//x89LV2N7ijZOHsuyzNQXJnHPfddw/bUP8udLb6e8vALQsTARkSBRYjXBMusss2xRXt1Uies1db+nZqMBClFQEEUncPtfJhiJsamglPU7Siitrt1vX+W77rqLn376iTlz5tC5c+cDPm/fvn2574U3GTrhTMQ9ZJlTM7IalBHjmk4wEqNX+5Yc060dx/fqyMnHHsnl44/lpEFH0r1NLukBny2U61Lwe93opklpdS1RVSMUjRFVNWqiMcKq3csWU+NEYhoIArqmk5rkIz3gIyc9hRapSXhcCpZpEY9rHHn8aNYt+RY9FgFBYHtJJbIkgmXRqu9QkpKSkSXJVlC0QDNMDNOkTVYKPrfS5JRtcXFxg8E1BweHvfObNBYIgsCVV17JypUrCYfD7Ny5k1AoxOLFiznzzDOb7bwPP/xwgzdlr9fL3LlzGTp06F73Gz9+PB999FGDgQRVVXn66aebba2HIxMnTiQ3N5d///vf+7X9cccdx+2338b5511KbW0tAi6aEswVBIHTzzyRbxe+jq4bHN37DMaM+jOvvvw+X331PRs3biQajWAPKBiQ8Do1sSwN3YjaAwiCG0n0IgouRMGVsMLaW9O5w++bDTtKWLQ2n/xiOxu1YnMBP23Yjr4Pse3XX3+dJ554go8++ojMzMyDOnd+cQXFVSHGnn0pV935GEkpaUhyw+x+dmt7UjQW16gI2pmyqtoIoYhKTnqALnnZtM/NTLgetMlOJ8XvRRQFwrE41aEI5TUhQpEY4ZiKAGi6TlzTMU0Ly7SIxXVimoYkCkRUjdpIFL/HhSJL6IaFJAp43AqaYSIkZ5Kd15HlC+YQVXUKKqrZXlpFRI0jiQJJXheyLGEh2G0v2Jm7iKpRHayFJrKLJSUlTsbNweEA+M2dsr1e7z4tsQ4FZWVlPP7446iqavd0eL18+eWXDBw4cL/2Hz16NJ9++injxo1DVVWi0Sj33HMPV155JcnJyc28+sMDURR55JFHOOWUU7j88stp0aLFPve5/oZrmPf1XK75+yRe/M8D2IFb0xmTrKx0XnrlPi676DY+/mg+S39ag8fjsj/EDJPkZD85uZm0a9eKjp3b0LZNS844awypKRnoZgTR9CC7PHscUnD436KsOsT20sayQ9WhKJsLy+maZ2eBgpEYO8uqiMY0vB6FnZvW8pe//IX33nuvkcj4vrAsi4pgmOpQlJ837UQ3DGRJIiOvI2f/36PMf/tFNi//EdMwEEQJf2ZLCiuqiakagiDg97jZVlJJesBHZmoSirwrU1dcGSQSU1FkiZpQhMraKFgWsiwRi9sl0WA4RkS1e3ZFAXTTBEHArBtI8CgSqqYTitkT2rWRGIZhYRmg6wZYFq2PGs6Sz16n66ATicc1dMMOAhVZQtMMzDqZEMuykEQRlyKjGxa1oTA7yhpPlTqlUgeHA+Ow+QS6//77ATv74vP5mD9//n4HbfWMGDGCL774IjGUoGkaU6ZMOdRLPawZNmwYQ4YM4Z577tmv7QXBYtqLT7L4x+U8+cSr+7G9wLSX76VDh9YAxGJxzDrj7NraMBs3bGPOF9/z3DNvccvN/2Ld2i126dQyAcMJ2v5AFFZUA6DpBsWVQbaXVFJcGUTTDQrL7fJ4YXk1i9fmU1heQ1Uowk/LV3PWmWdy+12TG/XE7ouaUJQPv1vB7B9WsWzjdjYXlrFuWzGF5dVUBsO4PD5OuODvnHD+35EUl6016AmwpaCMimAYj0uuM4iXsSzYWGBrXqqaTm0kxuqthUiSxDFd2qIoMn6Pgtut4FZkkrx26VTVdURRAAvimoFpgYCIKIiocbuX0+9xEYnZem+GaaEZOsFojJpIjOLKWoy0VijeJH6a/znhmF1mjcY1gpEYsbhWl2kT8LgUUpJ8JHndVIciqGqMmphd6t0dJ3BzcDgwDotPoeLiYp555hlUVSUpKYlvv/2Wo48++qCONWTIEObOnYvX6yUWi/Hggw9SXV19aBd8mPPQQw/xwgsv7FGkeXcERLKycpjx5vM8/cR0br/lcQyjcQP07oiiyJNT70CW9zy9qigyJ586ggEDewEWpmUCjkjoH4l4XcCzdnsxhRU1lFTVUlhezdrtxVTVRlA1nfU7ShL5243rVvPPy89j5NgJDBw1YZ/l1N3ZUVrJu98sY1NBGYUVNXy3agv5xRW2VEdROYUV1cTrhqba9jqak669n96Dh9OyQzfcLoWMgJ9YXEfVNNrlZACwYXsp36/ewrcrNvHBd8vZWFBKWXUtVaEIWSnJ5GWl0zYrnYDfQ056CoosI4sSkiQgCCBJoj2AoIhIku0/Kgr2c5ZlEVXjmJadPROwkAQRWRbRDYsWvY5j1befImBn2iwTdMNWQlRkGY9bIS3Zj9ct28fDQo+rCJKMpjf8uTmBm4PDgfGrlEqDwSArV66ktLSUcDic8LrbFxdeeOEhOf/kyZOJx+MEAgEWLFhAr169ftHxjj32WObNm8eIESOIRCI8+uijzTZQcTjSo0cPLrjgAq6++mo++eSTvcqDiKILwVIZOHAwX857m4lnXs4F59zMc9PuIjmwZ1HcY/r3ZOz4IXz2ybd1pvQNMQyDrl3b8fmnC+jQoT3t2rfF4zKxLANBcAK4PwJ+j5v84grKqu0eMLNOiijJ68YtS3XOAXYAM+eLz3n+oUmMnXghp19wGbphUF4TJic9sM/z1EZirM4vpjpkD92UVtei6QaiIOBzKximSUzVqAlFyUxJQtV0jujaieOOvoWCsioM0yLJ68YlSwT8HjwuhdpIjC2F5SiySHU4ytr8InaWVeNxKWSk+KmoDeNzu0jyughFYwT8HlKiHmojUQzTQhREDAzASpjGy5JEXlY6cU3HpcQorTaxNB1NMxEl2zJO0+3+T29ed6wfP6dg7VKyuvTB65YxTAvTNDF0E0mU7DIwEvWzFYau4fN6SPbtGuapqakhFArRsmXLZniFHRz+mDSLjls9c+bM4cEHH2T+/Pn7PalVjyAIh8QXdMeOHbRv357k5GS+++67ffakrFq1KqHjlpGRsddtlyxZwrBhwzAMg507d+5ze4f9p7q6moEDB3LKKafw0EMP7XVbw4iim1FMU6eoeD2XXnIDmzdu49p/XshZ547D42na5aKwoJT+R00kHm+o06coMmefO57y8irytxaQv3UnsVic1q1b0qlTRzp37kaHDh1QFIVYLIaqqon/139/55130r59+0P283A49OQXl/PcR99SE4oRicWJxjVUTSemaiT73PTplIckCnz/xSw+f+s/TLzqBnoPtAeZAn4PY/sfQV5W2j7Ps2FHCRt3lrJ2ewmxuEZRRc1uz1qk+D3sKKvGJcu0yUrD73FBXUm+MhjG53Elhg8AendsxebCMqIxDVESKauuZU1+EcFIFAGBtCQvmmESiqp4XAq6YZCdnkIkFqemNkJ1JEpct/vSdMPE61ZwK3ZWL+Bzo8gyST43O0ur2Flebfe21SEIAnFdRxAEqtYvoWLtIrqd9neoy7xphkFc0/F7XEiiCAi4FRlZEvlyynXMmvMNE0Yelzjed999x5lnnklhYeEvei0dHA4nmi3jduuttyY+cJsxNtwn06ZNIz09nW+//ZauXbse0mMfffTRLFiwgGHDhjF9+nT+8Y9/HNLjH86kpqby4YcfMmDAAI488kjOO++8PW4rSV5E0YVhxsnMbMlbbz9D7yPGcOP1j3DzjY9yRM/OjBg1gMHH9uWY/r1ISrK9TVu2yuLa6y7gySmvEatrxna5FEadOIjHptyEPeggIKBQWaGyPb+CzVvyyd9SwLJlyzBNE7fbjcfjwe1243a7SU9Px+12O5Zo/wPohonf46aoooZQLI5umFQGIwiC7RawtaiMb96fzvaVP3Lp/91P607dqAyGMS2LSExNVA4sy6K8JpyQEskI+MlOS07IeKiajkuWkEQBva6MrxsGqmYHRNnpAQYd0YFoTCMnI1DnamBrBrbJTiOqahim/R4qS/YxQ1Hbe7c2GmNbSSWCICAgYmJSXFWbCJZUzdZaq6gJIUsSHVtnkR7wsXxzAeFojLimE9N0fG4FRZaIxDV8CHRq2YLaSJTiKqlB4KZIIorsRtV0MjsfRcmyr6jZvpa0tj0wTQvTtLOWHlkhbhiYlklcN+iQkwaWxTFHdGrwGqxatYqePXs246vs4PDHo1kybh988AGnnXZa4t/dunVj7NixdOjQAb/fv9/yCRdddNEvXks8HqesrIxWrVrt1/YHknGrZ8eOHbRs2dIxSm4GPv30U84880y+/vrr/epL1PQw4dh21q5ex7GDTqP+t1tRZCRJQlXjdOnaluEjBnLscX3p3bcrI46/hPJye7owOdnPomUzychIpT5oE0UFjysbSbKDMUUKIIq/+UC2wy9kU0EpM+ctpaC8Gs0wKK0MEoqqIECkqozN894lGqph8DlX0yKnFQHfLqcUWRRpnZ3OsUd0oCIYQhTFOusom4DPQ+fWLagORdlWUkl1KEJlMEJRRTXrdpQSVe0bBVEQyUpNom+XNmQG/KQm+aiNxNhRVkV6so/0gJ+IGmdnWTVRVSM7LYm22RkUlFdTWFHDjtJKSipr0QwDwzSpCcVQNZ0krwufx4XX5aJDyxZsKy5HN016tmuJ26VQUhmkNhqjpCpIuC4zJ0oiuWkptM1Jx+9xsaWwnA07S6kIhurKq/ZUq9/jQhJsh4adP31JsCifNiPPs6VDpLqhBL8PAYtkn5eMgJ9hvTtywZjBlJSUkJWVlfg5XX311bjdbh577LFf74V3cPgfp1k+fZ588knATqv/61//4tprr22O0+wXLpdrv4O2gyUvL69Zj384M3bsWO666y5OPfVUFi9eTG5u7l63V2Q/HlcmR/TsxYABR7Fw4VIANE1P9LKtX5fP5k07eGnau8iyxGNTbubav9+PZcGUJ29JBG0gIooKkujdbZpUcCZL/yCkJvkQJcGWv4jEKK8Jo+s6pau/Z/uPn9Op3/GcOPaf6IJMRU0tAa8bUZIwDAPNMCivrmXRunx0w0QSBdrlZqDrJjXhCKVVIeYtW4/X7WJnWRXbSipJTfLikmRCkZhdRhQg2ecmNyOFqtoI2WnJDOndCUEQWLe9mJ1l1YDdi9c1LxuPotCzQy4Bn4flWwrYVlKBpptIoohmGEiiiMet4HUr+DwuWmWmkJbso3OrLLJTk9hcVEY4pqIbJq1bpLKpoBQBEb/XQ1qyl4DXS056MunJfkqqghiWSUbAj6JI1IZjuBUFv8dFu5wMDNNAt0zoOZAfl3yJHq5B8qdgWbZzQmbAh9vlwi1LZGcE8HnsUu9/5wlWrVp1SG7QHRwOJ5olcFu2bBmCIDBq1KjfNGhz+GNw/fXXs3z5ck477TTmzZu3T49Yt5KBgMgNN13Deedcgao2tqrSdQOXS+SmWy7ntDNO4IXn3qZFVjoTThlRt4WAKMiIggtJdCPUCftKotsJ3P4gpCf7yAj4WB5TUTWNcGUJG7+aiRELc+Sf/kL/AYMAe7ggxe+jdXYa4YhKYUUNomDrkxWUV5GVGkDTTRavzSc9kEQwHKWgvJraiEqS1+5PS03yUhOOoRsmLVKSUTWNrNRksjMCgIDXbW9TX43o1iaHlpmplFYFMU2L9ICfzJSkxNp7tM3lh1VbgGq8boVYnZ+yS5bAAsMwKa8J4/O4Ka2qpTZqnzvZ50GRZTYXlVNUGSQWtydHFUnEMEzKampJ9rnp2DKLrnnZVAQjxDWdFoEkNNNIuDFouoFmmFgWpLXrTs2mpWT3G4Vl2Tfsqm6QkeJCFARS/R6amkezLCtR4XBwcNh/miVwqzdlP/7445vj8A6HGYIg8MILLzB06FBOP/103nrrLZKSkvayvYhLSefkk84kPf3/KCoqbvKYxx3fjyv/ehaCIPDBx0/V2ZrZvUIgIYoeJMmDIEoIom06L4nNLxbt8OtQXhMmGFKJx+Ns+O5z1i34hKweA8nrfwI+n5+iiiAtMwJUh6J4FIX8okoqa8NU10aRJIFoPI4kCKT6fUTUODXhGAGfl2AkRiiqEjd0ghE7uPF5XGQE/FTUhEgN+EhL8pKe7CMYiSGJAil+L9W1EZZv3kkkFsfncdG6RRqdWmU1uXa3IjNhcC+C4SgVwQiKLNlC0pZFQXk1fo+H1CQfack+iupKwPX2VeFYnNLKIMFwjFhcJ8nnorI2glFjAAKuGhmXInNsz46IgkhlMIxmGvRs3wpZEknyugnH4qzbVoQiSeT0HMjGOW+Sc9QIJElGFGy3BE03cCkySV43fm/jns/i4mIqKyvp3r17M7/SDg5/LJolddC2rW3TciimQh0cYJenbCQSYfjw4ZSUlOx1e0EQUBQfN954UyNnDpdLoVWrbBb9uIKBR5/DPXc9y7q1+YiijICIICjIkh9FDuCSU/G4WuCSU5Aln2Nv9QehqjbC4rVbWfrdV3z9wn3sWLWIfmf+jVYDx+Jy21OZNaEwJVUhPG4FVdPIL66goiaES5Hwe+wG/Whcp7gqSFFFDZW1YTYXlbOzrCphLwW2XVU9iixh6CYlVbUUVQQRBBHTsidPv1u9hcLyGsKxOGXVIZZt3MH2kso9XkNeVjqnDe1Lu9wMOrRsQducDDx106EZAR9tstIQEAjHVEQBAj4vPdrlYlkmMc2gJhwlFI1RWFZDRU2ImtoYalzHNE1iqs7Pm3ZSWRMiruuUVNWSX1SGxyVzTLe2YFnEDQNZFmnX/Uhkl5tooa276FYUBHuuh6yUZNrltkCqy1LvXiotLS1l5MiR+P17lu1xcGguNE3jlVdeYfz48eTm5uJ2u2nRogWDBw/mscceIxwO/9ZL3CPNknEbPXo0a9asYdGiRc1xeIfDlNTUVD777DMuueQSBg8ezKeffkqXLl32us+ll17KLbfckvi3JEnk5GSz4IdPkBWduXO+4aMP53DaKX8nPS2Fk089kT/96SQGDjwOt5KCKLqdYO0PhmmaTHv5VZ6e8hg1wSAjTj0Hd+sjqI6o1ISjaIZhC8YaAiWVNST73Wi6iW6YCNg2UZZlEVE1REFg7fYidM0AUSTVrxGJxQlFVVL8HtwupU4WwyYlyUu4ztdTlITEeiprI2SnJVFaXUurzNTE9psKysjJCOBqwpwdoGPLFuSemMLi9dtYk19ENK6RlZYMAlTWhslOSybZ58HrVojGNULhKMUVQTRdR9dNTMuyr8e0v4/G4wiCQDAcpao2TMDvxe9x0yLVT+sWacTiOjtKq4hpOtlpKURjGrIo0br3YEpX/8iRXfuSGUgiI8VPh5wMurbJQZZEWqQ0zpD37t2bOXPmHNLX1sFhf9i6dSunnXYaP//8c4PHy8vLKS8v54cffuDpp5/m/fffp3fv3r/NIvdCs0yVbtu2je7duxOPx/n+++/p37//oT5Fs3EwU6UOvy6maXL99dczZcoUevXqxV//+ldGjRpFx44dmwyy/vKXv/Dyyy+jaRrJycksXbqUTp06YRgqcb0Gw4gSi8WYP28h73/wKR9/9BkpKSmMGjWKQYMGMXDgQHr06JGQd3D438SyLGbNmsWkSZMoKCzirIv/TNcBw9hYUEFhRQ214RiGZWKaFrG4hktR6sqPJh5FIRRT8Sh2k31c17EsUHU9EcwFvG78Xg9uxS5bypKEblpkpyaRUidBk5MeIByLE1Xj5LVIBUEkUjcwEPB7UWSJI9o1HMDp3janQTAHtn/qpoIyu4ypG2wvrSQnLUBxZZDaaH1Pp0VtRKWwvJpoXMPndpHi91JQXkUwEqOwPIiFaQdwpgkCmKaF3+vGrSi4FQm/x4XbZUuF9OvShrRkPy0zUpAlkcLyGlblFxKJxamtqeLDpyYz6i+3keRPonu7lnRvk02S1012eoDOrTIZ0L8/c+fOJTMzs3lfaAeHvVBZWUn//v3ZvHkzYLsh/e1vf6NTp04Eg0E+/fRTnnjiCWKxGDk5OSxatOh3N4DYbAK8b7zxBhdeeCHp6enMmDGDkSNHNsdpDjlO4Pa/gWVZBAIBQqEQiqJgGAaZmZmMHTuWsWPHMmLEiIRJ/dq1a+nVqxeiKDJ37lyGDBnS5PGgTmA0Huerr75i/vz5LFy4kEWLFiHLMv37908EcgMGDHB+P/5HqK2t5d133+Xpp59mx44d3HTTzfy0ej1ffvoRD7z4NovXbaOwotqWAgHiuoGmGeiGiSzZNT9FkdE0DdMCSRKIawZ6XCVUVY4Vs91gRAGSPDJuRUIRBGrCEbweDz2OPpZAkpf0ZD9tstOIxDRy0pMRBXuyNK5pFJTb5uuyJNKzfUMXgW5tsmndYpfQbzimsmjtNoy6jn+77FqDJFI3EVqLqum2vVZ5NR63TEzV8Xld+FwuaiMxqkJRonVm82pcQxAFJAF0y0IRJbxuO8PnVhRkWSQnLYVOrVuQ5PUgiQKdWmXidbuJxFS2FFVQVRtBlkQyUpLo0TaHvp3yUHWdgM/TQDzYweG35p///GfCY/yCCy7glVdeaXTD/+233zJy5Eg0TWPixIm89dZbv8FK90yzOid89dVXXHbZZWzfvp3+/fszatQo8vLy9jkVWM+hsrw6EJzA7X+HqVOncs011zTopRQEAZ/PRyQSoVOnTkyYMIG//vWv3H///QwfPpzzzz//gM+j6zorV65k4cKF/PDDDyxcuJCNGzeSl5dHnz596N27N3369KFPnz60b9/eycz9DtB1nblz5zJ9+nTef/99OnfuzDnnnc/xo0/m+alPMePF57CwOPOaO0lr3YmdZVXURmO4FAWXJFJZGyESi+NWJIxwNZHyYsLVZYQqS1GDFajBCrRwEFFxofgC9qSxKCKJEoIoIkkSiiKTlpHJ5TfcjdetoCgSrVukEdf0ukEGDwG/B80wWJtfjIU96domO524rtuuBi6F43p1pDoUZWtROXHdIBiJEgzbem2ablIbiRI3TCJRWxRY1QzySyqoDUcxLUjyupEle03VtRFM0yQa15FEkWAkapvLA4okIYoiHreMJEpEYnECfjdetwuf20XXvGwyUpIQRYHOrVrgdTctMn1kh1Z2udbB4QCxLINYvIy4VoVpGYiChEtJw+NqcUisBg3DoEWLFlRVVeHz+SgoKCA1NbXJba+66iqeffZZANavX7/Ptpxfk2YN3L788kvuuOMOFi5ceMB9QofK8upAcQK3/x2CwSBZWVlNyn3szjPPPMNVV111SM9dVVXF8uXLWb58OT///DM///wzq1evxuPx0Lt3b7788kvHPeFXxrIsli9fzvTp05kxYwaCIHDeeedxwQUX0LlrN35cm89rLz7HK889ia5piKJI2z6DGXn2lYDFtpJK3C4ZlxFj1bIllG1ZQ6hoC0Y8RlJ6Np7UTPCkoATS8KVm4k/LQvEmY5gWhmmgmSaKKOJ1u/G5FTrnZZPi96AbBlmpAarDEUKRGH6vh1S/h5imgwVtc9JRNYOoGqdtTjpl1SFq65wTWqT4iWs6lbURyoNhIrE4BeXVKJJEy8wUctIDxHWD9dtLMC0z4bVaWllLdTiKJApkpyUnZDoqgyF8XrtnLxxVCcdU4pot3iuJArIikeR2I4oCVbURXIo9JarIMh1btaBdTgZtstLp3CoLwzIbGcZnpSbTq0NLpy/U4YCwLItwbDtRtRBbQ3N3/Rj7RtjrzsXvafOLfrfWrVuXmGIeNWrUXnssP/roI04++WQA7r33Xm677baDPu+hptnk3++77z7uvPNOwH7D+C1trxz+mAQCAc455xxee+21JoN8j8fD6aefzpVXXnnIz52WlsawYcMYNmxY4rF4PM66detYv369E7T9CliWxebNm5k/f37iq7y8nNNOO41XXnmFkSNHJtxM1u8o4Y1XXuSVZ59E1+0Mk2maFKz+iXgsTKyigLIVP7Ft7QqqS3aSlNWa1LwutOw1kOSctmSkpCBLArVRldpIDK/bZZvDx7WErZNhWggSxOJxDMtge3EFfq+b1CQPZdUhu/Qqi6hxnbLqIBmBJCJqnLhu0DozldQkL2u3FaPrJmnJXlqkJlNaHWLDjhJ03UCSRAzTIhxVMUwTWRawAI8is7O0Cs00SPa4iaq276qFhWaYlFWHQbCwLItQ1Lb2Skv2oRsKlmUhiRqiKOGSRQzD9i8VETAty+7VkyUEw0DXDILhGGnJPvxeF93b5rCzrJrqUARJFMnNSCE7LdkJ2hwOCMuyCIbXEderAavua3fsIC6qFmIYEQL+bgf9O1ZZuWtKOzs7e6/b5uTkJL7/+uuv//iB25w5c7jjjjsS/+7evTtjxow5YMsrB4d9cfXVV/Paa681elwQBERR5Nhjj6W6upq0tH2bgf9SXC4XRx55JEceeWSzn+twxLIsNm7cyLx58xoEav3792fo0KFMmzaNwYMHNykv8dyzU3nxqX9h/FeAr8VjvH7P1QRS0unc6yj6jz6N5JYdwOVF0/U6TT8T3bAQRZH2ORnURGIYpkVFTS26YaLXuRbEDQ0ZEUkS8HtcROIaCBCKqYiCLbIb16E8ZkuKtM3JICstQDgaozocZVtpJV6XiySfPcnsc7vYUVJhZ9uqQwT8bqKqTiyuoRsGReVB1Lhu21zpOpquIwlCnQCujmVZxFQNSRCRZTtrIYkCliUgyzKdW6ZSFQpTHYqiyBKKLFFSGUTTDQzdxOOSAQELiySfhySfJ+HyMKB7OzwuhU6tWvwKr7zDH5lwbPtuQdvesIjr1YRj20nytj2oc+2u/1lTU7PXbaurqxPfr169+qDO11w0S+D26KOPAvaH5+OPP84111zTHKdxcKBfv3506dKFNWvWJB5TFIWOHTtyxRVX8PLLL/OPf/yDcePGcd5553HSSSftd4+lw29PNBrl66+/5pNPPuGTTz6hoKCAQYMGMXToUP785z8zcOBAvF4vpmmys6yaFfklaLpBss9Du5wMUvwennpmKk88fF+joA3sYLBjj97ccO/jBCMxthZVgGXRMjONytpaKmrC1ISjhFWVgODmyA6tMIE5S9ai6QamaWeoFEnEoyh4FJlUv5cknwc1rhGu8z4V63TMFFkkrtuDD5FYHAFYt6OUtCRv3TSoRcuMVDJT/KzbXsLWkkpCERVN16kNQygWI64bmCYYZpxIWZyoqiFJAqJg96gZponPpRCMxBq4fNhVDwEEk/KaWpK9blKTfWSnB4iqGtW1YdtFQZZwI4EggAAuWSbJY5dPwRb/zUkPNP+L7/CHx7KMuvLo/lbkLKJqEX5P64PqeevUqRMul4t4PM4PP/xAPB7fY3Vk/vz5ie+LiorQNK1OpP23p1l63HJzcyktLWXUqFF8/vnnh/rwzYrT4/a/x7Rp07j22muJRCKIokiLFi1YtmxZwtd048aNzJgxg9dff52SkhJOP/10zj33XIYPH54opTn8fsjPz08Eal999RVZWVmMHz+ecePGMXz4cHw+X6N9lm/eSVl1qMFjpVVBPn7rFd58cepeWzUUl4un3/6CsmCEzYXltM5KIxqLs6mgjLLqWiwLDNPArShkpQXIzQhQWlVLVShCVTBMTNNI8fmwBAtdNxBFkYxkPzFdo6ImgiyKyHL975mFgJ2RO7JTaypqwkRiKhkpSYSiKppuEPB7CEVUgpEo1eEYmqYRjetQp7lmGCayJOHzuIioGqZpokgSsmRn1gRAEiUM00SRJdKSfURVDc0wSEvyEoqqRFSNnPQASV43XpdCeTCEIkmUB8OIAsQ1e6JWliRSk31YlkWbrHT6dWlD97Y59OrQvP7PDocHUbWYUDSfhj1t+0IkydsOrztn35s2wYQJE/j4448BuOeee7j99tsbbZOfn0/fvn0bZN0qKipIT08/qHMeapolcEtKSiIajXL33Xc3+UP5PeMEbv97hEIhWrRoQSwWIykpicWLF9OtW7dG21mWxZIlS3j99dd58803icfjjBgxglGjRnHCCSfQsWPH32D1Dv/N5ZdfzpYtWxg3bhzjxo2je/fue22vqAiGWbZxR+Lf4VAtsz/+iDkfvUf++roShyCC1fSHg6y4OOPKG0jv0ItwTMWtyJRXhyivDROPayiyjAXE4xqmZeFxKXhcii1Yq9plS6/bZQc8ul069boUNMMgFFUxTYsknxsssCwTVTdJ8Xlol5tBcWUQy7ISummmZaFqBrF4HFEQ0Q2dqtooalzHEqxEYsK0INnrxjBNBAE0w7JlSKRdGTZFVmiXk0Z2WoDyYBivS6EqFLW16UwTn8eNIIJblqkJR20tN2yJErXuWv0eW/vN63YxuEd7stIDHN21DalJjYNnB4cDpSa0lrhedcD7ueQ0UpIOzipt2bJlDBw4kHg8Dvx/e/cdJmdVNn78+/Tp27ObtpsGhJJAAiQEBAJKe2lKeREVI02FH8UXUVBQQAhFiAoElWZARUUJItIUlNAMkoAhkARCet9sn/7U8/vjmQyJ6clukoXzua69mMw85exOMtx7zrnvG/7f//t/G9Rxe+GFF7jmmmtYuXJleXYOYPny5QwYMGCH7tndeiRwGz58OB999BE//OEPueGGG7r78j1KBm6908UXX8wjjzzCtGnTOOKII7Z6vO/7vP3227z44ou89NJLvPHGGwwYMKAcxB177LHy/d9NhBDbtA82CAJaOrPMXryS1S3tfPift3jlxed4641X6dOvkaGjxmFW9gmTEJYvI9fRQq6tGTvdRjHbSeB5aLpBEPgMHz2OM795DZqmMGfxatrSWexSgOP6AUEQFt31fR8UhYihY+gaqhLOoQVCYBk6QoDrhXveDF2h4Hi4ro9l6Vi6jucHFBwHEYBpqBRsD0q9PVVVIWYaCBEGZlFLQ9d0OrN5bMel6IYZnLqmomsa4Z0BFAIRUJOKlxu/hyU7+hCLmPSpjNPcEc5GNnekUYBBfWtIxWK0dmVY25HG8wWWqZOMRig6LplCkVzBJmIZVCfiDBtQx5jhg9hrQB8a6/eMWQep9+vIvI/np7f7PF1LUZU8YIfv+6c//YkJEyZQKBQ2e8x5553HokWLeOONN4Bwz1tFRcUO37M79UjgdsUVVzB58mROOukknn322e6+fI+SgVvv1NbWxtKlSxk9evQOnZ/L5Xj11Vd56aWXePHFF3n//fcZNmwYY8aMKX8ddNBBcn/cHqJgO7w5dzH/mv4mz/1lKu+8/jKJigqOPfEUjvrcSbS6Os3tadrSOXRNZW1HFlFajklEI/SrqaCQzWBn2hiQ0AisOA2D9iEIAt5fvIrFq1vxfB83EDiOh2mEPUYLrhsuRWoquqqFratKe7+SsQhduSKGoWJpOqlElPZ0HkMLg7KIZSCCsJuB7/thYCig6LooKCRiFiIIEOHWMmKWhVbas6YqCl25AoqiEDUNAkBTwfWCciHeRMQqLZUqpOJRzh4/mpbODG3pbJhZCrR1ZamrTNBUXw2KSjpfxHZcsgWbiKljGQZduQJCCGwnLNo7ZvggDt9/MP3rqmQxXalb7Y4Zt3U+/PBDbr/9dv7617/S1tZWfn7EiBH83//9H+effz7Dhg1j4cKFaJqG67p7TGJljwRuH330EaNGjcK2bd544w3Z8krqdVpbW5kxYwZvvfUWb731Fv/+97/p6uriwAMPZMyYMfz0pz/FsqzdPcxPpbVr1/K9m3/Mc3+ZSkdLM/scfDi1+xxCor6RiniM/Qf3Y/naDtKFsFCtZeoUii4F20YQdgNoqq+m6Lg0VFcw/qC9WLCqheb2NJqqsrYzw/LmTjL5PDnbxfMCTEPFdgMKto2qqpi6hqarFIpuKYhT6FOZwvcDCo6LH/jEIhZCCARhNmfMCpc2swUbz/cJ/ICi5+O44f41q7S8qihQFY9RW5kIkwayYcBmaApeEC6XmoYWZrK6HqqmIoIwqSAVixKPmvStSTFy6ACqk3FGDO7H32bMxS+V9yg6HydpZAs2hq7Rlc0jBOh6eE0AXdMYt/9gTjt8pCwqLfWI3bHH7b8JIVizZg2ZTIY+ffqUC/JmMhkqKysJgoARI0Ywe/bsbrlfd+iRrNK99tqLRx55hK985SuceuqpvarllSQBG7TPgvAf95IlS3jrrbd4//33ZZ22XUwIwbRp07jnnnt49tlnGbjXvhx63OlUDNqfrqJHS0eGfGeG9myeVR1duK5PstQxIJ0tYugq8WiY6RmzDCzDoK4yQcyy+HB5Mx3ZPKvbulBVlaLjUlcVR1EEBcdFL+0bUzXCZBZBmLDghQVvRRBg+9CazgAKvh+Edd78AFVV0dQwqzRmGXRk8mGGaL6I6wUfB3aaiheE9dPWleYo2C6xiInr+eRtl3g0EpYZKTr4QqCrYbHdrlyBvOPieD6O56OqSSzDYHVbmkyuyMih/Rm332De/mg5uUKR1W2dYdJBIkpDdTLsnWpoBAFk8kUCIdBUlX61lZx82AEyaJN6TMSsI1tYvEPndRdFUejbt285mW2dN954o7TvEw477LBuu1936JHA7de//jUQNveePHkyxx9/PIceeijHHXfcHt/ySpI2RVEUBg8ezODBgznnnHN293A+NTzPY+rUqdx5550sWrSIb37zm5z+1W/y9vJO1nZkWNmRoTNTAASqEhaQVZVwRswLwsbtgbDJ2w7JqEV9dQUxy0BVwzp/81c0oypKKetToTOTR1EUrHiE0Xs38u7CFbR25fD9gHjUIqc62K6LEApChIkBmqoReD627WPoKooCgQjwfNAVKBY9XF/gB4J80Q5nvdywST0CBGFxXE0BXQ/3zsUiVlivzfNJRCOoqsqQvrX0qUry4fJmMvkiuqZh6mFDe9v1yJVmzzJ5g9VtXVQmY0Qsg6mv/CdMlMjbBEJQV5miWNpwvd+gvmRyReYtXQOKQnUqRhAIVFWhsU81bem8LP0h9RhF0Yha/bajJIhC1OrbLe2vtuY3v/lN+fG5557b4/fbHj2yVKqq6gZrwdu62XiDgcmWV5L0qZXP55kyZQqTJk0iCAKuuuoqLrjgAiLRKHc/8TKvvvcR6VyRgu2QK9oEQfg5o2oqtalEuK9MUehbU0EgBOlcIey5GQlnSuurUqTiFsuaO+jIFvB8n7hlYuga1ckYDTXhEurK1i7enLOIFa2dRHSdhatbWN2WQYgArVTmQ1WVsJOBoqGo4U46RYCqqaiES44K4R63vG2Tztlhx4UwagvHrSpoajgrV5mIESklKdRUxKhNJdhvUAPxaAQhBItXtdKZK5CIWLy3eFV5liyTt9E1hWQ8SkTXOXLkUFBUurJ5XN/HNPRw35plMmJIP1LxKHWVCbqyBdL5Im1dOWzXwzJ0airiREyDqmSMg/du3K1/F6RPto07J2yOgqlX7lTnhG317rvvcvDBB+P7PgcccADvvfdej95ve/VYy6v/jgdlyytJkramra2Ne++9l8mTJ9PY2MjEiRM5++yz0XWdfNHh1XcXsHxtO47r47g+uYKNFwhURQEBruORyRdQFYVkLEKmUKS+KsWghppwVktTy/vHMoUiy5o7UADfD8rFZ/N2mFVpaFr4S6eqUrBd5i1Zg+16KKWZMUUJG7M7noehh3XUFMIgDhUihkHBdulTmyJq6hRdD11XyRYcDE0lKNVlQyjl/1/Znl9qQ6WSiFn4vqC5M0tNZ5ZLjhpNZSLKG+8tYsaHS2npylCwnfKMna6pRC2DqGmgqQrzljWzb1NfMoUiHZkC8YiJHwgy+SLqEpUBdRUohLeOmAb96yo3ej/+uxepJHU3RVFIxYeXepWuLj3bM71K11m6dClNTZvuvrBw4UJOP/10fD+syfjAAw/s9P26W48EblOmTOmJy0qS9AnV2trKT37yEyZPnszYsWN5/PHHOfbYYzf4kJ63dA0F28UwdGKWScF2QFEIggBVDUtioCilFlQ6mqpSGY8SBIKYZTB670Zcz8cyw8zJD5c3s7S5HdfzMQ2NQBh4fkBXrsCq1i4WrmhBVVWScYsgCLAsA11TKXoeMdMgV3QQhPvcAiFKGZ0q+JArOBQdLwwKgwAvCIiYBkXHJRm1yCkq6/oyBgIipk6+GO6nE4Dj+bR0ZjANg7hl4Hs+7y5Ywf6D+9G/rpK1nRkyuQKuH6CgYJl6ObsVBTw/wC4lGXTlimQLNulcAb+UxKAolMp/ROlXmyJvu5t8X5IxmUUt9TxFUUhEm4hHBlB0WnDcDgLhoyoaplFFxKzr1uXRz3zmMwwaNIhzzjmHAw88kEQiwZo1a/jb3/7Ggw8+SD6fB+CnP/0p48aN67b7dpceCdwmTJjQE5eVJOkTpqWlhbvuuov77ruPI488kr/97W+b/KAsOi4d2TymoZGMRUhELfIFm6hplFs56aqOKE1d6ZqCaYSFc9vSOXK2zdB+dSxd21HKrHTJFx08zycQAUUnoCsDtuOTK9q0prOoKOVgy/MDzFLtNguwSzXV1gVCETMM+hJRnbUdxXAcIpw3aE/nSMUj1FYkwpk5XSNmQSBEaZ+cQhAIFASJiEUqFiWdC/uH+oGPoUfxAoHtecxduprRezWGS5jDm/ho5VpsN8xEzRbCrFEFgaJARTyKEAEdmRydmQKO5yNEWGQ3V7DJFV2KtgOKoLUrR9/qFPHox5nSqqLQ2Kfne/xK0jrhnreGbssY3RwhBK+//jqvv/76Jl+vqqriZz/72R67z77HlkolSZI2p7m5mbvuuotf/OIXHH300fzjH/9g7Nixmz3eKS3Z5YoOBAFduTyBEEQtE8vQw8xLx0VXVKzScmFNKh7260QhGY2gqSrt6SwfrWghFjExdR1fCIQI23IWXY9ACNZ2ZhCBwBWCguNgu2FPUk1TiBgGvhAYmhrOXBHWhYtFDFzPJ5MvYhkaRSecTdNUDdfzsB2Pgu2SjEYQAjKFIq7rU3B8VCUsJqzrGr4QrO1MEwSCiDBwCx75YtgovitboKrUfipmhXv1hg3ow5zFq8jkbHwRtsLK5h3qKuPUVsRxPB/b8cLG8YGPLwQEAe3ZHLbvsV9TA5WJGH4gWLa2naaGGmKWScwy2KexQc64SZ9I9913H88//zxvvvkmq1atorOzk6qqKoYNG8app57KhRdeSF1d92WudjcZuEmStMvdcccdLFiwgGnTpnHIIYds9fh4xKRou0ybNZ8la1ppT+fJFmz8ICBiGewzsE+pp6ggGbPQNA1VCUtraJpKZSLKqvaucC8ckM4XiVsGWqn8R2U8guMFZIs2mqJQ9H2Krofvh8ucAKqv4LoBIDANHcsIZ/dqK3Qa66pLJTna0X1/gy3WjhvgWwGd2TzHjt6HeMRk8ep2FqxoxrINDD0sBVIs2qQLRRwvQFXAdj00VcV2fVa3dyII8PyAVa1d9K1OETENhg/sw6KVLfiBIGoZRAyDqlSMhqoUew/ow9LmNgIBKAp+IMK9fEGA4qsgHJauaSMVj1KdjLH3wHqS0QgjhvSTAZv0iXb66adz+umn7+5h7DAZuEmStMvdeeedYU20bbSqtZPpcxcxe9FKCkUHCGfbPN9HBALHCzhxzL7M/HAZoNCnMklbOvtxE3ZdI7+ihYhlYOgauayNoal4gY/r++RtB01TKdpeqW2UwPd8vPWSqoJ19TtQcD0PTVOxDB1DV7EsnfraFGs70hQdQdQ0sF2XoFTUVghBxDTZe2A9R43ci8pElN+/NJMFq9biej5vz18GioKCgq4qOJ4HgtL+NQ2hQM4O67elc2HQKoSgT2WSEUMG0JUroKkKfasrqExGqalIoKkq1ak4hh62x1rXosvxwPV93KLPqvYuBtZXkS3YVOWLDO1fJ4M2SdrDycBNkqRdbnuCtvZ0jvcXr6Yrmy8XxAQIAp9E1CIeMfB9n4Lt0tinmnSuCPhkckUg7NvZmc7TmQ03HDuuj2ZodGYLuK6PIqDo+OhaAAoU7bBUx6ZquQcCFAS+CNtSxS2TbMGhM1cgXwwL5ral85Sz4hQwNY2KRIwDhw5gr/59qEnFyRcdaisTdGRyvL9kNaauk8fBNPRyMkPYcN5FUxUyORtVUalKxPhwRQtRQwdFQddVNC0M0ABSiSgFx2PuktWoikI8YhIxdaqSMdrT+bCFlu+FAWIpoGzpzNK3ppKObCFcipYkaY/WI4HbkCFDdvoaiqKwcOHCbhiNJEm92fKWDrIFG9vz0VWVQA9LcEBYriIIdGw3bB01eu9GOjJ55q9YS21lguaOdNjY3XaxPY9MzsbxPEwjLOehEH7WRCwDS9cprAvagnC5UogNK0sphIkPiqJi6DqO76OqCl3ZAqauEwQ+lFIkwqSJsCG87/s0NXzc69M0NCxDo7GhmjlLV2MZYdFdPwhK41JK9xb4QYAAirbDsrXt+L6gpiKOArSns+iaRk1FHFVRWdvRRZ+qsBG2T9hGS1VUEBCLGPh+UO5vGjUNTMOg6Hi4noeh62hqz9bHkiRp5/VI4LZkyZKwFcw21G5bl+7/38fuKc1cJUnavfJFB1VVSEYsCraH7bn4fjijZTthwFZfnULXwo+zqmSMmlSczkyO2ooEy5o7UFUFBTUsn6EoaKqC5wfl/4bBkcD1/TAbNIBS+FRaHA2/wqhKwdA0TD1sNJ8rOkRMmxw2RS9McHB9D03VMLWwCX0yZlG0Pda0d5Et2PSrraBvTQWr27qIWQZZ08D1PNICRBAW7fXw0UqBn2XqBALaunKkYlEgnLXsyhVpS+eo6IyiCAXT1KhKJkrdF0zqq1MM61fHB8vDGnSeH6CqoGkGqUSUiBEGkp4fkIobskuCJPUCPRK4NTZuW5G8fD5Pe3s7vh9mjCmKQmOjrNItSdLHopZJMhYhlYxiey6245W7DSiKguOBikJDzcdBh6YqFGwXXwjqKhPkija5YthZwHEDXC9MIAg8gVFqrC78AMswcFwfRVHQNYWi46GWsk7X/W6pqSqmES71+kGA7wtyBQfH9xBCCYv0Aqap07cmRcF2WdWWZtnadjRVpaYizuxFK1jW3E5rV455S1eTLTj4Qfg56PoBbmmPm2nooIaFfrO2jaaFS6MK4Hk+2WLYxqojk0NVVCzHYOGqtRw4dCBN9dWoisLwpnraM9mwKb3nYTsuplGqc5eMYukaTQ3V1FelaKiu2LVvriRJ263HZty2VaFQ4MUXX+SWW25h5syZfOYzn+Ghhx7CsqytnyxJ0ifewD5VNHekaevMEbVMbMclCMIlRFVTiRg6QoWOdJ4gEFTGI+GeLwUCLyBAkCu6IMLSHTnVxrbDDgiqFnY6KLoeZqlfqalraKXG6hFLIfADFFXB1HUcz0dTFTRNxQ8Emhqg6yq2H7aSsl0PxVVAEXieR75ok8k7REyNlS1dRAyDlW2dLGtuJx6xsEydhqoKljit5IoeiaiFrmoEIkAEgspEFMvQw64OroplGNRWxIhaJq1duVKxYQXTMFEVhcpEFCGgIh7BMsKPd0VRqK+uwLJMPM+n6LhkCjapWIRExGJo/zr61VSSikXoU5nYje+0JEnbYrcnJ0SjUU477TROPvlkzj33XH73u99h2zZ//OMfd/fQJEnaA9Sk4sRMA9f3ScUsfD+g6LioilLq6SnI5oosaW5Fb9HIFW0qEjFURUVVBV3ZPCBQVRU/cNFVDVvxwpk1D4xSQ3qEQNM06qtTFF0Xzwu7DxiaRjJmoagKlq7jBQGFokvBcRACbNvG1A10VSHjeOXZOR/oyBQwDA0/gHS+wNrODG3pHEGpk0JHJo9hhK2yFKBQdJj/l5+zz3HnkKwbgBCCouPiB4Ki41FwPGIRk7rKJGvaM+WfkWVoDOxThe+H04ItnVn61VYC0JUrsPfAPsQsk/nL1+J4HkEQ9m9VFBjct4YBtZUM7luLWgpYJUnac+32wG0dTdN4+OGHefnll5k6dSpTp07lzDPP3N3DkiRpD6CqKvs2NrC6LU0yZpGMR1CATN7GCwJyRYc5i1dhGgZ+EKCpHTRUp4iYOu3pHGYpOFMUcD0PVQFVDWejTF1DCzRUlXJRXkPXqU1F0DUV1/U5eO9GWtI5cgWbNR1pim7YIsrx1+0b82nuyBCEaafoqkbRdnBVlaQaQdEgbzu0deXoyOXD2TnHI1uw6czmwuspkG9bQ6Gzhar6/qQLLkKEwaMeDhYCQUtnBs/3iZgGqmqgKgpD+9dRk4yzqq2rnOCwjqnr1KQS6JrKwfs0krcdXM8nahnELJPxB+29e95USZJ2yB7161UymeS0005DCMFDDz20u4cjSdIewgsCqlNxPN+n6Hjk8jatnVlyhSJCCKIRk0zBoT2dxQ8ElqFjGRr5oktNKo6uq3ieX25O73hhA+lAlNpEKeB6QZhxqqmogOOGM1MnjN2PQf1qqa9OkrNtMvmw64HnBwRugOf75IsOjufj+gFBECY5qIqCYehYZpjBauphqY9i0SVXKIbX8cLATyHcO9e5bC4VA/aiI2vjei65XJ5CuhNKAWY8YoZFeR2PrmwBgPrqFHWVCXRdo19tBfVVSRpqKohFTAY11DBu/8Ho2scf9THLpCIeLQV08d3yfkqStOP2mBm3dYYOHQrA7Nmzd/NIJEnaU1QlYrwzf1mpKC3lgMcPBIqiELfMckIBCIQQLG/pJBGxwnpnmkYQCHRNwQ98Al+USneAJwI8Ee6BUxWFjmyB2mQc1w/IpXO8/M58EjELBKxp68L1fTRdxfd9nMAjTHD1UVUNEQg8IcIZMk3BKAVZmqagqyqtXTau7yMcgWG4+J5fSuRS8Z0i7R/Nov6g8RQcB1PTSC9+j67Fs2k48/9h6AqaqqIoKp7vY2gqtRVxVEWhuT1DPGri+wG1FXEG1FYypG8tqViEXNGhtSsMaNenqQqDGmp28TspSdLO2uMCt0Ih/C2yra1tN49EkqQ9RUNNiuVrO6hOxdC0cKZMVRVcP8Ay9HIT+EzBBiHw/XDWq6UzS0UiQlemQN52woxUQCiExwmBUBUUX0HTNUxDIx6xcIKwI4Mg7DLQkS2wvLkNxw3QNIUgCML6Z35Y7w3UcCUT0FXwRQA+5eQB2/FJ54poWlhTLWoZ6FoYgCmKgmVoLJj2HGYsQcPwUQhUQBCvaaD5P/8gEAGOB57noqoqpqFimRFGDu5PtmjT2pWjrSvHPgPr6V9XSUcmz5Ov/odE1CrvdVNVpfw91aTiskuCJPVSe1zg9vzzzwNQW1u7m0ciSdKewvN8alJxhBC4fkDBtlEVBVUNZ90CIfB8H9cNZ9EcLWzqrqoqth0W7nVdv7Qxn1IJEBdFUQn8MNjSFYWi65IITIIg3CQWs8ICtl7gk7fDWTk3CPeYCBHWn9RKS66GrmHo4f4223NRhBIWDnZ9zFIDecdxqYxF6VOVpGiHCRamZdKxeA6di2bzma9dS2BFUQiDOy3oi5vPkE13EY0nws4NIgChoqoKOdtheGMD85auAWBAXSWmofPRimb8AAqOS01FIsxMDQQjh/SjtiIhkxAkqRfbYwK3IAi47rrreOedd1AUhSOOOGJ3D0mSpD2ErqnEIib9zSpiERMhIJMvIIQgbzvkikVcz8d2/PJMXN62UVGxHTec6QpXUUERKKqCoobLnYqiIpRwNsoydTJ5m4hlUJ2MlwuJZ3I2ICg6PgJRej4IG7gHpR6mAixTx/V8FMIyI0II7FJnAt8P0HUNVQuL/iqqgqGppNtbmPn0rxl98leoqe9bzpitSyXQFBU9liTdshrFGFKqXaeWG8a/89EyPlrRQkU8QlUyhu16dOUKpeXbMLhM54rUlcp8LFvbQZ8qWWRXknqzHgncfv3rX2/TcUIIstks8+fP55lnntmg/tuVV17ZE0OTJKkXSsWj1FclWdHSSVeuQE0qhqpCruBgBQJT12jP5LBMBV0NW2Kpikogwp6fBALT0HA9D+GD74VJBEEgUMNVSdzAx7cDDF1HIFjrhTXaFIVwiVRRQfEIfIGqhuVFCAQCEb4GYX05P9xjp2kqQel1L9PGijeepnrfsVQecCieH5AvOhSzHbz1h3toGD6amr0OxHV9alMJDEOj6HhEIgZVffqjFbuIWGHpE1PXSMYimIaGENCeydKeybGqrQshIGIaYaBa9vHetnUJDZIk9V49Erh97Wtf26GWVevaXt12220cfvjh3T0sSZJ6qYhpcOCwgXRmC6iKilACKmIRcgWbqGWgIEhEw2BGV1XcIKBQdPADQcF2cH2/FKRpKIEXJgggUFQVQ1cRAiw9bCtVdD2CQMVRwtk4TVPwvNL5ioJQwyZYXqnhfczQQVHx/QBNU4moCoWije8JRODR9v5rtM+dTuXeB5McMAzX98kWinS2tjLnL7+kbvBwPvP58/CCANv1iVomnu+TzhXQNQ1NCRg6sC/DhzeSdzzWtqcRAjzXJ++4YbFeAUYyTkc2bCQftQwqEzGAcossAF3XdsfbJ0lSN+qxpdJt6VO6PkVROPbYY7n++usZP358zwxKkqRea9/GetZ2pMnbLp3ZPK2dGRLRCLGIQWtXjoLthgFMTCOqGxSKYR00PwjQVRVFUyg4NoH/8dKmXmqbhRLuk4tZBkVHwTJUPF9QdD30INzjJoKwBZXjemGtNBE2iw8vF5QSFlwQAs8XpJd/RPO/nsRMVNJ04vlEqvti6jpCCNpbmpn7lweoadqHg046l0Q8Sme2gKaF5dpUVSEWMRlQV8m0TAejR+6Poxuojo/t+eSKNq7rUSwV5F03u+e4HtWpOJ3ZPKlYhPqqFJb58cd8vxrZ0kqSerseCdymTJmyTccpikI8Hqe+vp6RI0eSSsm9F5IkbZqqqozZdxCZfJH3F6+isb6aVa2ddGQKZAs2KIKi4+AFPpahh83bi2ExXdt1UQg7HwRagOeBFwj8QBCLhC2lIHzO0BQMXacqadHSlUUIcH0vDPDWLYGKsC7JupptlhFmpAZC4BZzrP7382SWzQPfw8unUYRAUVQsU0Nz8vznLw9S3bQPex17JpmCw7K1HVQlo0RMi1Q8woC6KrKFIoHn0d7awoj9hvNhc4bla9vDPq0oqKpG1FIxtLChfEUiQsFxqUxEURSFiniU/nWV5Z9fRTzC4L6y/Ick9XY9ErhNmDChJy4rSdKnXDxiEbFMTMMAwrwA2/MwdA3H8yk4DhFBqaWUiaYqWLoWJijoKqoiKLrhEqiiBCgIHM9FU1QUNSzz4QUBMdWi6PrESsuWvq+VZtrCRAlD0/CDcP+cgig1rFLILHmPFdOfJVbfRPXwMXR88G98p8CSF37FwCPPQOs3mAXPPUzFgKE0HnFauDRqGrieR1tXjlQsQufqZRy+32AWrm5l5aoVWJEoRiyJruVxvLAGnWnoJKJauYODolB6LsK+TX2xDJ2G6hSqqhAEgrqKBHWVMptUkj4J9pis0m21cuVKFi5cCMBRRx21m0cjSdKuNrCukpaODK3pHBCWCnFdD8/zwixOzwMXXM8nFY+iKGAZOnapE4KqqggEhqrieqCgoqhhEoLnBwQiIGc7KIhw75thoKqw+NkHSDQOp2HUsQRBgGVo2K6PQKGQ7aTlrecotKyk3+Gn0nfvUcx56pcIPyxPIgKf5a9NRTMsGvY5iPqxJ5O3HQzDwNQ0ik4QZqS6Hvff9i1+/7NKzvzq13FVi5r6vixZ006+6FCViKKrKh2ZHNmiF47DNImYBoGA6lQMx/WIGDrD+tcRMY3d+VZJktQDel3g9oc//IHvfOc7qKqK53m7eziSJO1iqXiUuspEuJ+McD9Y3nZxfB9D08ptrLzAJ2KaRCydeFSgaiqBH2DoGtlC2MFAVUEgsHQdTVVwgwDX9bEdF1UJ000VRSG77APszrUUO5qpadwLq3Zg2JzeD+ha8C7NM/9GcuA+DDrtEhQjSmc2R7515QbjFkGA79h4uTQaAgWNwA8oOG556TVemQQg3dnJb37xM0AwcOhwujJZXDegMhFFEDaedzw/LOIbBKiqyoC6CkxdxzR0mhpqZNAmSZ9QvXbefHuTHyRJ+mRoqE6xtjNLR7aAFwRk8mGNNUNVcfywXhoK6JqGIAziBIAIy3R4vo+ph8udiWiE2lSCRMxEUcPWWfGIiVLKGi06Ll2ZPEveeAYR+CACFr34O0w8dC/Hyn8+Rsu702g44gv0P/JMdCvM5LQ71obH/xchApqXfMjsP96Nn+/CNHQ0VSUesdA1lZxTLB/ruQ6e67L0o3n85KoJLJg5jZUtHWTzNoauk4xZ1FUmGVBTSdQ0MHWdvjUpRg0bwLD+dbvmzZAkaZfrdTNukiR9uvlBQHUyRjpfLNXUFaXyQwq+76Eo4RJnEIR7zxTA1HSKhDP0CgqxiIVS9IjHTBIxi7bOHEEQoBgasYhFwXFwbA9fQHrhf/CKufL9PafAB08/SL6rlb7DRzPos+cSKAYCgeuFpTnyLctQVA2xrhLueoTvUexqZekrf+KAL1xCImoSsywKtkNnJr/R8YHvkc+keea396ObFgd89kwGHTQOpbRfLRm3aKiqYJ+B9Zw87gBMXX6sS9LmdHZ28vbbbzNjxgxmzpzJzJkzWbp0KQBNTU0b1JPdGs/zeOSRR/jd737H3Llz6ezspL6+nrFjx3LRRRdx/PHH98j3IP+FS5LUqxRsF9PQ2XtAHwpFh0zBIZ0t0JXLo0Cp0ocIkweCANMwcD2fQQ3VuF6A43mlWS4Py9BxPA9dU0tlahU8z0NVVSKmQTZfoG3WPxH+x9syhO+TbV3F4EOOYeTxZyMIi+B2ZgqAgqYpFJuXIHx3o7FrugGqRsMB46je97DSHjkbxwvIFor47sbnrOO5Dr7nsWD639jvsPHUVSYY2q+OykSUWMRkWP8+MmiTpK0YNWrUdgVnm9Pc3Mypp57KjBkzNnh+2bJlLFu2jD/96U9ccMEFPPDAA2ha99ZPlP/KJUnqVSKmUe5e1acqSUN1koqYhdpKmICAQAso7xsLe4yGxXNH7zWQFa2dADieT65gh22oFJXWrixF20HXNHRNJQgg/dHbBJ6zyXEs/c9rjP3cyeiJajJ5G9Pwwu5XQL556QbHqppOvLKakeNPxew/HNsL0DSNgu3i+wFF4eD5Abq6+cLlqqYzZMQhHPPFb2BYFkP71bLXgD7l1yvismG8JG3N+tusampqOPjgg/nXv/5FNpvd5mvYts0pp5zCzJkzATjxxBO59NJLaWhoYO7cudxxxx3MmzePX/3qV8Tjce65555u/R5k4CZJUq9iGTp1lUnWdmaoTsZpqErR0pWlf10VmYKN6/qoCvhClFtLKYpC0fXoV1uJqqo0d6TD8h5+gKoqaLpGPGqWuiaErbA8p0jruy9vMNu2PhEE/PM393D8N3+IUWo/BeBkOvDt0pKnolDXtDejPns6Y8YdTleuyKJVrZhB2HILIcg7LoamE+gCNl5ZBcK+qkeffQFHfO5/yNkuFfEoQ/p9vI8tahr0lcV1JWmrLrvsMpqamjjkkEMYPHgwAIMGDdquwO3ee+8tB20TJkxgypQp5W5Rhx56KF/4whc44ogjeP/995k8eTITJkzg4IMP7rbvQQZukiT1OsOb6rFdly6KNDXUoGlhy6naijhzFq+ipTOLgoJeWvJMlWajZny4hOGN9Tgtpe4HqkIqHqE9nWP4wAba0jnS+QLNHRna571J4G1+6RIF1q5cxoIZ06jZ9zBQwn6oK2a+AEDl4P0ZesTJVPbpRzxqUXQ8qpIx6qqStHRkKLgueccNG86bYJkGXRl7w1toOmYsyWfOvYwTjz2KgXWVeEGApqpopT1u1ak4+zbWl/8sSb2V7RWZvWY681tnU/ByRPU4e9eOZGTDOCy9e2aUr7766p063/d97rzzTgBSqRT33HPPRi0+U6kU9957L8cccwxCCG6//Xb+9Kc/7dR91ycDN0mSeh1T1zl0+CDa0znS+SKH7tNIIAQz5y+lPZ2jPZ2n4Lj4QYBl6AjADwS267F8bQf9aipZvLqViniEVDxKKhbBdn2G9q9ldXuGXHsrK2f8vXQ3BUXXwyzRICCSqKBh4CAaGocQRKtoOmA0uhUlnS+y6sNZ5FYv5uAvXkmsdiB+EOB6HpoWZUlzO5qq0p7JYdsu2aJNIASWoZW6O3ikolb5e1RUjdqhIxh72gQGDawHwgm5w/cfQlN9NXnbRddUWfZD6vUCEfDigid4c/mLKCi4wcfbExa2z+G5+b/jsIHHcdyws0plenaf1157jbVr1wLwv//7v5vt+DR+/HiGDh3KwoULee6558jn88RisW4ZgwzcJEnqtapTcapTcQBWtHRQk0ygqWo5uSAQYQ9Sz/NxVA/X88kXXeoqdfrXVVJ0XHJFp9xAPhmLUGhvZuaf7gVFoaKhiWT/YUSq6ojX9KWitgFV02nsU8Wa9jSuHxCNJ/B8gdu1liUv/4mhx55NqqEJ1w8wDZ2IZVBbkSAQgiVr2mjtzKIq4V4bQ9XwA0HOttFVlcR6gduIE77I/uOOpSIeoTIeo7FPFUeOHErfmkqADY6VpN4qEAGPvXs3i9rn4gUbz3CvC+LeXP4ia3Mr+fKBV+7W4O2VV14pP95aX/Xx48ezcOFC8vk8b7/9NkceeWS3jEEGbpIkfSKsaOkkEIKIYeB4Hr6/ro6agqoq1KTCoK6+OsWwfrV8sLyZls6P97X4QcC05/7MP/70CF/86oU0HHQMH6xYHOP69wAAJUdJREFUi6IqCAHpfIF80SGiCla1deF4HolohHTeJp/pZNZTD9H/4PHUDTsQUOhbU4GmKkRNk4LjYrs+thPul/N8QamCCb4vcD2XiliEzpWLAIWx517OkH0PRFGgrSuHEPDWvCXs29RQDtwk6ZPgxQVPbDZoW58XuCxqn8uLC57ghL3+dxeNbmNz584tP95vv/22eOz6r8+ZM6fbAje5KUKSpE8E2/UoOC5F16EiHiVqmUQsg6hlYug6RcelvipFKhZh7rI1YfDlegRCUMimef7hu3j92Se48NqJfPPKb6MbBtWpBBHDwNQ1UrEoFfFwj5qiQGUiXtqXlmP6Ew+Samii6dDjwv6gfkDRdklETNL5AtmCTSZfIJ0v4gcBhh5+9Hp+gAhEWMZEUVjwxnPsdeQpVPQfwpq2LrIFm8pkjGjEpKYiwVsfLGHRqtbd+nOWpO5ie0XeXP7iVoO2dbzA5c3lL2J7xa0f3EOWLVtWfjxw4MAtHrv+6+uft7Nk4CZJ0idCImJRtF38APrVVpSazKuoKuiqgqGrWIZO1DJI54r4pfZXC997h9/f8V0CFCZcN4kBw/bjvYUrEAiilkF1Kk5dZZJ4xCIZs1AUhUQ0ih8EdGbzzH39BQrpdvqOO5VswSFbsLE9j5bOLB8uX0tXNo/n+YhS5wYFBU1VMQwdUAj70yus+eh9Mu1rGXTw0fStqSQVj6AQZtH2r60MW3XlbZatbccPNpl+Kkm9yuw100slsredgsLsNdN7aERbl8lkyo8TicQWj13/9fXP21lyqVSSpE+EgfVVLFi5lqgVbtZvaqgmV7SxXY/6Ug/QwX1r6FudoitXoKW9gzf+8hgL33mDIz5/Hp875QtETJ1ACFq6cqj/VVNtXeJY2NhdIwh8WpctYM2sl2k64XzyHvhugYge1oHLFm1URUHXNDIFG13TUBQFywzrxmlKmKGmCPD9gFXv/IMhYz6HUHXyRRddD4t2tqVz9K2pwDT0sEezH5DN21QkorvuhytJPWB+6+wNEhG2hRs4zG+dzaEDjumhUW1ZoVAoPzZNc4vHWtbH+1DXP29nycBN2iG+7zN//nz23Xff3T0USQKgT2WSEUP6s2xtOytbu3A9n4pYlKpUjIhhsKqti+aONOlcgY/mzeXPv7wTzYww9rzvYFXXMW/pauIRi4aaFHUVCVRFIW+4tKazBEKgEk6O1VUmyRZsCq7Nh397jLqDjsWorA/Li5T20zmuh+f6aJoaBmxAxNRRFYWKeIRAQKZQJBGNoCiw9qP3cLMdDB/3WVyhUnAcLCP8eHY8j1zRxjR0qpJhsGbo3VuJXZJ2h4KX2/pBm1D0Nm4Nt6tEIh+XJXEcZ4M//zfb/ri8TzTafb9oycBN2iHPPvssp59+OieeeCITJ05k9OjRu3tIksR+g/qSLdosb+6gK1dAAbwgoD2dI2LqCCGY+tgjvP7XP3DA0SfTd/R4bDfcj9bckSYRiSBEmKhQKLqYpk4ialF0wj04uq4xoE8VHy5dw5t/eYREbV/qDjicou2iEC7HCsD2PLRSB4aIETazr0jEyBaKREyTQAS4noGigI7P4teeYv9jv4BuWqgCDE3dYDlUADHLoK4ySSoWIRbZ8m/6ktQbRPX4Dp0X0bunrMaOSCaT5cfZbHaLgdv6RX3XP29n7bF73FpaWjb5fEVFBY2NjTQ1Ne3iEUnrO/XUU7n66qt54YUXOPjgg/nsZz/Lm2++ubuHJUmMGjaQvQb0oam+moH11fhBQFUiSuei9/jZ9y7lP6/+ndP/3w/Yf/ypxKwItuPheD6eF1BwHLpyeRasaGF5SwfFooOqKKiKQiJqsd+gvrR3ZZn9+ou0r1xM/yO+EG5RUxUCIfCDsMG9CMKl1UAI8rZLznawHZeIaSCEoDaVwDJ1opbJh688Taq2gcaRhwNgGVo49roqTF0nEY2w94A+DOtfR8Q02LepYff+gCWpm+xdOxJD3b5fQgzVZO/akT00oq1rbGwsP16+fPkWj13/9fXP21k7Hbhdf/31uFtojLwjfvvb3242zfaiiy5iyZIlLFq0qFvvKW0fRVH48Y9/zPXXXw/Ayy+/zFFHHcVnPvOZDercSNKuZugaI4f254gRQ9m7fw3zpr/MTZedx19/+yCHffZ/OOc7d1DfNAzX8yk4LkIIoqaB4/lkCzYdmTwd6RyZfJF0waa2MsGgvjUIIZg+ZzH/nPYKs198gobDP4+rGiiqiqnppdk2gVoq82HqGrpaSkTQNAqOgxCCPlUJ6qqS9KupwGlbydJZ0zn2ixejKuHG64p4lIpEjP51VRwwuB8nH7Y/o/dqZO+B9YzbfzDJmOxJKn0yjGwYh0Bs/cD1CAQjG8b10Ii2bv/99y8/Xr80yKZsT+mQ7bHTgdutt97K6NGjy327dsbKlSs55ZRTmDBhAu3t7Tt9PalnKYrCzTffzM0334xhGLiuy7/+9S+OO+44Dj30UF588cUNGvpK0q6SyWSYfM/djB19IH/542/4ykWX8uhTL3DBRV+nT00lmhoGWZqqUp2K4wU+QoR9SwWCvO0QMQ1c16dguxRtl9VtaZYtXsDsvzzEgMNOIt53MIEA1w3rxemqiqlr+CK8rh8IvEBgWQaGpqKpGrqm0VBTQWUixuCGKmY99xhHnXYOgwcP4YCh/Tho2ACGNzZQEY/Qr6aCM446iLPHH8zIof0Z1FCDqcvdLdInh6VHOGzgcejqtnX/0FWDwwYe123tr3bE0UcfXX48bdq0LR677vVYLMYhhxzSbWPolk+BuXPnMm7cOL797W9z0003bZBJsa3uv/9+rrnmGjKZTJgyr2xfirC0+1x//fVEIhG+//3v47ouruvy9ttvc8oppzB8+HAmTpzIySefLN9TqUd5nsfrr7/Ok08+yW9/+1v22Wcf7v/lL6kbuj+5YmmPGnDAkP4sX9uBHwTkija5gk3R1kFA1DIwdA0FBd8PCIKAXMEmEAFtLWuY/ecHqDvgcOr2HYvreXgE+CKcM9BUBUPX8fyAiKFjez4RQ0URorRHLmxgv6q1k0Q0wrv/fBpVUTjxzHPJ2R6aqjK8sYFTDh9RTkyQpE+644adxdrcyq0W4dVVg6HV+3HcsLN24eg2duSRR1JXV0dLSwt//OMfmTRp0ibbXk2bNo2FCxcCcNJJJ3Vbuyvohhm3I444AiFEufHqqFGjtmuv08KFCznmmGO49NJLy0FbY2Mjzz333M4OTdqFrr76aiZNmoRhhL85CSFwHIfZs2dz1llnsd9++/Hkk08SyPpTUjeybZvnn3+eiy66iL59+3LOOefgOA5PPfUU//rXvzjttNPYe2DDBpWialJx+tVUUJOKUVeZxDR0NF2lKhkjEY2Us0DzRZuObJ5Fq1tZumI1bz1+H1WD9qVpzHFh+TVVDbsqlP5Oq6qCXvoydJWKRITaVAJD1/EDQSpuUZmMkiu6rFq2hJf/8gdO+dplKGq4jy1qmWQKRd6Zv0z+O5E+NVRF5csHXlmeefvvPW+GapZn2r60m9tdAWiaxne+8x0A0uk0V1555UYrS5lMhssvv7z852uuuaZbx6CIbljLuvvuu7nuuuvI58MUXU3TuOKKK5g4ceJmMy6EEPzkJz/hhhtuoFAolGfZLrnkEm6//fatFrbrKe+//z4jRoygtbWVmpqa3TKG3uz+++/n8ssv3+S+R8uyGDBgALfccgtnn302miZLGkg7ZsmSJVx33XU888wzVFZWcsYZZ3DGGWdw+OGHb/LvVWc2z6LVbXRl82iqSt+aCgSCuUvWkMkXeOO9ReU2Vr4fLpmauobj+gS+w7//MBktkmDIZ88hGoni+T5d+SJBEM7KGZqGqmkIIahKxBCAoghSsSi+H+AFAVHTIBmPkunq5NVHfkz9Xgcy7tRzGVBXRWUiiqqq7DOwD1HLZP9BfelbU7Hrf7CStBvZXpHZa6Yzv3U2RS9PRI+xd+1IRjaM67bl0VmzZjFr1qwNnrv66qtpa2ujpqaGu+66a4PXDjroIA466KANnisWixxxxBG88847QDijdumll9LQ0MDcuXO5/fbbmTdvHgCXXnop9913X7eMfZ1uCdwgnDm78MILefXVV8MLKwpDhw7l4Ycf3qg/1/vvv8+FF17IzJkzy5HqXnvtxUMPPdRtvbx2lAzcdt6jjz7KxRdfvNmklUgkQl1dHTfffDNf/vKX0eW+HWk7tba2MmnSJM4880wOPvjgHVqGdz2fGR8sYWlzO0ub21m8uo3VbV0A6JqC4/kEnsfbf36QYiFP0+e+itBUYqVyHtmCgx8ECML9bWopCSEetdAUBcf3iFkWmqoghEDTNExdYfrvJ2MYBgef8Q2iEYs+VUksQ+fQ4U3UlQoF962pYP9BfbvzRyZJEnDjjTdy0003bfPxN9xwAzfeeONGz69evZpTTz2Vt99+e7PnTpgwgYcffrjbJym6bc5x6NChTJs2jbvvvpt4PI4QggULFnDMMcdwxRVXkM/n8TyPm266iUMOOaQctK2bdnz33Xd3e9AmdY8JEybw6KOPlpdN/1uxWGT58uV885vfZODAgTzwwAM4zvZVz5Y+3Wpra7nttts45JBDdnjvpKFrHDRsAI7nYxo6jX2qqKtMUFeRRFM1RCHL9Md+SiGbYdBnv4xuWpiaUWpr5YYBm6ZhaBqaphE1DSKmjuO6uL6PEFC0XVzPJxCCxj5VfPDPJ/EKWU782pXouoZlaNSk4vSpSqKv9+Gua3tspSZJkoC+ffvy5ptvcv/99zN+/Hjq6uowTZMBAwZw5pln8vzzz/PII4/0yMpSt824rW/x4sVceOGF5YwKRVEYNGgQsViMuXPnlmfZRo4cycMPP8zBBx/c3UPYYXLGrftMnTqVc889d6vlYiKRCMlkkh/+8IdcdNFFWyxoKEndqT2d452Plof7dIOAeUtXk7c93n7r3zz3q59QN2Q/Bh5xGkJR0XUdRVHI5gqAgicC4lZYDsT3fFw/QNMUPC8IM1I9H01XEYHANHRyC99h7it/5Yxv3Ux1XQPt6RyJqMU+jWFdtqpkjKb6agAO3adJtrSSJGmTeuTXusGDB/PPf/6Te++9l0QigRCCxYsXM2fOHIQQmKbJTTfdxMyZM/eooE3qXmeeeSZPPvnkVvu5FYtFWlpa+O53v0u/fv2YNGkSudyOtUKRpO2xrh+pUuopWpmI8c605/nr/bcxaOzxDD/ui6haOHMczoIJdF0jGjGJWyZRy6QiFsUqFdb1fUHENFAUhVQ8QtyyiEdNcqsX8d5LUxl79jepqq0HwiSJiPXxrLRamjls7FMlgzZJkjarR2bc1pkxYwbnnXceH3300QbPf+1rX+PBBx9EVXtuOWDlypUUi8XtPm/+/Pn8z//8DzNmzKCqqqoHRvbp8/e//51LL710m4+PRqPous61117LZZddtslUa0nqDkIIXn9vIbbr4TgOk++8hdf/+RKnXnQVLUoKTVUoFl0CwNDDBu9Fx8UywnZVhq4Tj5hh71I7LOZblYxhlBrNp2IRWlct5e8P3sH4s75Gn30PJW4Z1FQkScUsTEOjtiJBruhwwKB+DG9qoCa1Y22AJEn6dOiRwM1xHG644QYmTZqE7/sbpMqu248yatQopkyZwogRI7r79qxatYr+/ft3+3WlXW/SpElcddVVu3sY0idYS2eW5/75Gj++KaxDeOOd92LGK/jX3IW0dmbJFhxs1yMQAlPTaE3niEfMUvkQk2zBwfE8CrZHbTKGZRlkCzbJWITCmkVM/cUdjPrs6Zx09pfRVJWi7VKRCGs69a+toK4ySUN1igMG99vNPwlJknqDbg/c3nzzTS644AI+/PDDcsB2xBFH8MADDzB16lRuueWW8kZ0wzD4/ve/z3XXXdftmYUdHR071Ipr3rx5jB8/nnnz5lFdXd2tY/q0euaZZ/j617+O7/vbdHw0GiUSifCDH/yAb3zjG91auFCS1lcsFrntttu48847OeOcL3HR5d+mIpmgf20lzR1p/j13MbMXrcLzfbwgoGh7FGyHmoo4iahFQ3UFruchBPSvqyBqmfh+wPK1HfznjX8y9aG7OfPCKxg66nAqkjEUFBqqUvhBgGXq7D2gD/1qK2molrPKkiRtm24L3IrFItdffz133303QRAghCAWi3Hrrbdy+eWXl2fa5syZw/nnn19ukaUoCgcccABTpkxh9OjR3TGUnSKTE7rXtiYoQBiwJRIJbrjhBi688EKZpCD1qBdffJFLL72UyspKfvnLX26039b1fGYtWM6yte18uKyZvO2RiJoMqKsEIBWN4vo+hqFRlYhx4LABtHVlWbCyhZ/f8zNeeOK3nPd/P2SfkQfTWF9NxNTJ2y6j9xpIn6okFXG5j02SpO3XLYHb66+/zoUXXsiCBQvKs2zjx4/noYceYsiQIRsdHwQBd955JzfddFN5H5qu61x99dXceOONW93M3pNk4NZ9fv/73zNhwoRtyiqtqqriRz/6EV/96ld36/svffKtWbOGq666imeffZaJEydyySWXbDFlvy2doytbwPU8krEIVckYEdOgLZ0jXwx7mtZWxFFVFd/3+fo3L+Hpv/yFK268k36DhlFbEScesYiaBiOG9iclm8RLkrQzxE664oorhKZpQlVVoSiKSCaT4uc///k2nTtv3jwxbtw4oSiKUBRFqKoq9ttvP/Hmm2/u7LB22HvvvScA0drautvG8EnwyCOPCMMwBLDZr0gkIhobG8Wvf/1r4bru7h6y9CmwevVqUVFRIc455xyxcuXKbr/+xIkTxfDhw8WSJUuEEEJ0ZvJiRUuHaOnMiCAIuv1+kiR9+uz0jJuqqihKWBn8c5/7HA8++CBNTU3bEzjy05/+lB/84AcUCgXg45ZZkyZN2pmh7RA547bzHnjgAS677LItdk7o378/EydO5KyzzpKtr6Rd6t133+XAAw/skWtnMhlc15X7YyVJ6jHdErilUinuuusuLrrooh2+zoIFC7jgggt4/fXXw4EpyjZvZu9OMnDbOZMnT+aqq67abK/SIUOGcOutt3Laaaf1aDkYSZIkSfok2un/c5544om8//77OxW0AQwbNoxXX3213DJL6n3uvPPOjYI2RVEwTZMDDzyQJ598kjlz5vD5z39eBm2SJEmStAN6tADvjlq8eDEXXXQR//jHP3b5veWM24655ZZbuPnmm8ulXhRFQdd1Ro0axa233sqxxx67wz0lJUmSJEkKdW/xtG4yePDg3RK0SdtPCMEPf/hDfvzjH+M4DqqqomkaY8eO5dZbb+XII4/c3UOUJEmSpE+MPTJwk3oHIQTf/e53ueuuu1DVsAn3+PHjueWWWxg7duzuHp4kSZIkfeLIwE3aIUIILr/8cu677z4g3Ot4yy23MGrUqN08MkmSJEn65JI7xKUd8te//pWf//znfOELX+C9997j2WeflUGbJEmSJPUwOeMm7ZCTTz6Zjz76iKFDh+7uoUiSJEnSp4accZN2iKZpMmiTJEmSpF1MBm7/ZeDAgRx33HEkEondPRRJkiRJkqQN7JF13CRJkiRJkqSNyRk3SZIkSZKkXkIGbpIkSZIkSb2EzCqVJEmSJOlTobOzk7fffpsZM2Ywc+ZMZs6cydKlSwFoampiyZIlW72Gbdu8++67G1xj3rx5+L4PhG07Bw0a1GPfgwzcJEmSJEn6VBg1atQ2BWdb8s1vfpNHHnmkW8azI+RSqSRJkiRJnwrr52PW1NRw/PHHb3cVifWvEYvFGDdu3C4tjyUDt6046aSTUBQFRVG4/PLLt+kcIQRHHnlk+bzvf//7PTxKqSesXLmSp556iuuvv54TTjiBmpqa8nvak9PgkiRJUs+47LLL+OMf/8iiRYtobW3lb3/7GzU1Ndt1jZNOOomHH36Yd999l3Q6zb/+9S8+85nP9NCINyaXSrfigQce4IADDiCdTnPfffdx9tlnc9RRR23xnHvuuYfXX38dgH333ZcbbrhhVwxV6kbXXnstd9xxx+4ehiRJ0qdG3inwwpxXmb7wHTLFLMlIgnFDR3Pi/kcRM6Pdco+rr756p69xzjnndMNIdpwM3LZi4MCB3HXXXXz9619HCMGFF17Iu+++SywW2+TxCxcuLM+wqarKlClTsCxrVw5Z6gbFYnGj56qrq2lvb98No5EkSfrk8gOfX7zyGI/PfAYFFduzy6/9e/EsfvbSr/jfQ07mkqO/jKZqu3Gkewa5VLoNLr74Yj73uc8BsGDBAq6//vpNHrcusMvn8wBcddVVjB07dpeNU+o+1dXVHH/88Xz/+9/nz3/+M8uXL+ftt9/e3cOSJEn6RPEDn+88cTuPz3gGx3M3CNoAbM/B9hwen/EM33nidvzA300j3XPIGbdt9OCDDzJixAiy2Sx33303Z511FocffvgGx0yePJlXXnkFgL333psf/ehHu2OoUjf44Q9/uNFzO5uJJEmSJG3oF688xowl7+L47haPc3yXGUve5RevPMZlx3x1F41uzyRn3LbRoEGDynuegiDgggsu2GA5bfHixXzve98DwiXSX/3qV0Sj3bMmv75HHnmkvEF+W9KRBw0atMXN9Ju63vz587niiivYZ599iMfjNDQ0cPzxx/P3v/99o/OXLFnCt7/9bfbff38SiQRVVVUce+yx/PnPf97q2IIgYNq0aVx77bUcffTRNDQ0YJomiUSCwYMH88UvfpE///nPbEtXtnXfw/jx4wEoFArcc889jBs3jrq6OqLRKHvttRdXXnklixcv3ur1JEmSpJ6Vdwo8PvOZrQZt6zi+yx9nPkveKfTwyPZsMnDbDpdcckk5MPjwww/LSQfrlkhzuRwAl19+OUccccTuGuZOeeKJJxg9ejT33nsv8+fPJ5/P09zczIsvvsgJJ5zALbfcUj7297//Pfvuuy8/+clPmDt3Lrlcjs7OTl5++WXOOOMMrr322i3ea+TIkRxzzDHccccdvPrqqzQ3N+O6LrlcjiVLlvD4449zxhlnMH78eFpbW7f5e1i2bBmHHXYYV155JW+++Satra0Ui0UWLFjAPffcw4gRI3j88cd3+GckSZIk7bwX5ryKgrJD532ayaXS7aAoCg899BAjR44kn88zadIkzjzzTGbMmMHLL78MwJAhQ7j11lt380h3zNtvv80DDzyA53mceOKJjBkzBk3TeO2113jppZcA+MEPfsDYsWPRNI3zzjuPIAg44YQTGDNmDLqub3DsHXfcwTHHHMMJJ5ywyfutC8YGDx7MmDFjGDp0KMlkknw+z9y5c3n++efJ5/O8+uqrnHbaabz22mto2pY3prquy9lnn83s2bNpaGjgC1/4Av3792fNmjU89dRTrFixglwux5e//GUqKio48cQTu/EnKEmSJG2r6Qvfwfac7TrH9hymL3yHM0Zt+v8rnwYycNtOQ4cO5dZbb+Vb3/oWvu9z3nnnsWrVKiAM7B5++OHNZpzu6SZPnkxtbS1PP/0048aN2+C1u+++m29961tAuP9r9erVVFVVbfLYn/70p1x11VUA3H777ZsN3M4//3zOPfdcRo4cucnXW1tbOe+883jhhReYPn06jz76KBdccMEWv4fp06cjhODss89mypQpxOPx8ms//vGPufjii3nsscfwfZ+LL76YefPmbXfxRUmSJGnnZYrZHTwv180j6V3kUukOWH8pdP78+WSz4V++9ZdSe6vHHntso0AM4IorrmDfffcF4M0332Tp0qWbPfZb3/oWw4cPB+CVV16hs7Nzk/e67bbbNhu0AdTW1jJ16lT69esHwEMPPbTV8QshOOCAA3jsscc2CNoAotEojzzyCKNHjwZgxYoVPProo1u9piRJktT9kpEd+6U5GYlv/aBPMBm47QBVVXnggQc2eG795IXe6tBDD+X444/f5GuKomywrDhmzJgtHnvSSScBYSD13nvv7fCYYrEYp556KgAzZ87Etu2tnAHXX389hmFs8jVd17nxxhvLf/7Nb36zw2OTJEmSdty4oaOxdHO7zrF0k3FDR/fQiHoHuVS6g5588skN/hyLxTDN7fsLuKc57rjjtvj6kCFDyo/X1bXblmPXrl271XsvWbKE2bNn09zcTDabxfc/rtWzaNEiINy/tnjx4vJs3qZomlYO9DbnxBNPJBKJUCwW+c9//oPjOL3+vZMkSeptTtz/KH760sM7dN6nmQzcdsCcOXO4+eabN3hu7ty5TJw4kZtuumk3jWrnDRw4cIuvr7/0uD3Hrsu2/W9CCB599FEmTZrE+++/v01j3Nyy6zpDhw7d6h5DwzAYPnw4s2bNwnEclixZwt57771N95ckSZK6R8yMcs4hp4TFd7ehJIipGfzvISd3W/ur3koulW4n3/c5//zzcZwwE+ZrX/taebbmtttuY/bs2btzeDslEols8XVF+Thte3uODYJgo9eDIOArX/kK559//jYHbbDpVlTr29ZmwbW1teXHHR0d23x/SZIkqftccvSXOXTQgZjapre3rGNqBmMGH8glR395F41szyUDt+101113MWPGDAAOOuggHnzwQa677jogXMq78MILN1jmkzbtgQce4He/+x0AyWSS7373u7z00kssXbqUXC6H7/sIIRBCbLKLwc7alqK+kiRJUs/SVI07z7qWcw49BUs3N9rztu65cw49hR+fea3sVYpcKt0uH3zwQXlju67rTJkyBV3X+d73vsfUqVOZPXs2M2fO5Cc/+Qnf+c53emQM689kbUvwsa5v6p5m8uTJQPhznDZtWjnTc1O6urq2+bptbW3bfVxVVdU2X1+SJEnqXpqqcdkxX+WCI87mhTmvMn3hO2SKOZKROOOGjubE/Y/qtuXRWbNmMWvWrA2eW1cZIpvNbtSR6KCDDuKggw7a4Lk1a9bwwgsvbPDcggULyo+feOKJDVZ1GhoaurVmqAzcttF/t7n63ve+V34zDcPg4Ycf5rDDDsP3fW644QY+//nPs9dee3X7ONbfO7buL9vm5PN52tvbu30MOyufzzNnzhwAjjrqqC0GbcB2LaUuXLiQfD6/xX1uruvywQcfAGCaJk1NTdt8fUmSJKlnxMwoZ4w6oUeL6z711FOb3Yve1tbG+eefv8FzN9xww0aB2wcffLDRcev774mbo48+ulsDN7lUuo1+9rOfMX36dAD2339/rr/++g1eP+SQQ8pFZwuFAhdddFGPLMfV19eXH8+fP3+Lx7700kt75LLt+nvKqqurt3hsc3Mzr7/++jZf2/d9nnnmmS0e88ILL5QD8FGjRmFZ1jZfX5IkSZJ2Jxm4bYMFCxaUAzVN05gyZcomy0fcdNNN5Vm2V199lV/+8pfdPpaRI0eWl0ufeeYZPM/b5HGe523QV3RPUlVVVf4eZs2atcUA95prrtmm2m3rmzhx4mZ/Lr7v86Mf/aj856985SvbdW1JkiSp97rxxhvL+6e35Wv9up/rjB8/fruuMW3atG79HmTgthVCCC644AIKhQIA3/72tzn00EM3eWw0GuWhhx4qByXXXHMNy5cv79bxVFRUcMwxxwBh7bN1iRHrS6fTfOlLXyonUexpYrFYeXl0wYIF/OAHP9go89S2bf7v//6PRx99dIN9fVujKAqzZ8/mK1/5ykb7+4rFIhdccAEzZ84EoF+/fkyYMGEnvxtJkiRJ2nXkHretmDx5Mq+99hoA++yzz1brtB111FFccskl/PznPyeTyfCNb3yD5557rlvHdP311/PPf/4TCPtvvvTSS5x00klEo1EWLlzI008/TVtbG1/60pd44403WLp0abfevzt897vf5ZxzzgHCGbKnn36aY445hj59+rB8+XL++te/smrVKvr06cNpp522Te2uAMaNG4frujz++OO8+uqrGzWZXxdIa5rGgw8+SDKZ3OR1WlpauOSSSzZ4bv1AsKWlhbPOOmuj85544oltGqckSZIk7RAhbdaiRYtEPB4XgFBVVbzxxhvbdF46nRaNjY0CEID49a9/3e1ju/3228vX39TXGWecIfL5vGhqahKAaGpq2uR1pkyZUj5nypQpW7xndx/7ve99b4vfw8CBA8W///1vccMNN5Sfe/nllzd5rXWvH3300WLp0qVixIgRm71uLBYTjz322BbHv3jx4i2ObXNfkiRJktST5FLpZgghuPDCC8tV/y+//HIOP/zwbTo3mUxy//33l//8rW99i+bm5m4d3zXXXMNrr73GWWedRd++fTEMg4aGBo4//ngef/xxpk6dSjS6Z1eXvvXWW3nppZf4/Oc/T319PYZh0KdPH8aOHcvtt9/OrFmzGDNmzHZft7GxkenTpzNp0iTGjBlDTU0NkUiEoUOHctlll/Hee+/xpS99qQe+I0mSJEnqWYoQshKp1Put2wd39NFHd/tGUEmSJEnaU8gZN0mSJEmSpF5CBm6SJEmSJEm9hAzcJEmSJEmSegkZuEmSJEmSJPUSso7bLvLggw9uV7P0/3bOOecwcODAbhyRJEmSJEm9jQzcdpGJEyfuVCHcQw45RAZukiRJkvQpJwM36RNBVrWRJEmSPg1kHTdJkiRJkqReQiYnSJIkSZIk9RIycJMkSZIkSeolZOAmSZIkSZLUS8jATZIkSZIkqZeQgZskSZIkSVIvIQM3SZIkSZKkXkIGbpIkSZIkSb2EDNwkSZIkSZJ6CRm4SZIkSZIk9RIycJMkSZIkSeolZOAmSZIkSZLUS8jATZIkSZIkqZeQgZskSZIkSVIvIQM3SZIkSZKkXkIGbpIkSZIkSb3E/wd7ff+DOxF7sQAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 285, "width": 311 } }, "output_type": "display_data" } ], "source": [ "fig = ov.plt.figure(figsize=(4, 4))\n", "ax = ov.plt.subplot(1, 1, 1)\n", "ov.pl.embedding(\n", " adata,\n", " basis='X_umap',\n", " color='leiden',\n", " ax=ax,\n", " show=False,\n", " size=50,\n", " alpha=0.3\n", ")\n", "ov.pl.add_streamplot(\n", " adata,\n", " basis='X_umap',\n", " velocity_key='velocity_S_umap',\n", " ax=ax,\n", ")\n", "ov.plt.title('Velocity: Dynamo')" ] }, { "cell_type": "code", "execution_count": null, "id": "01612208-b1a2-4f86-98e1-853ba389ec08", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "9eefc192-8ea1-4399-92d5-40e188b1c0b6", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.9" } }, "nbformat": 4, "nbformat_minor": 5 }